# EvalMap · AI model releases to 9 November 2026 and what is expected next Source page: https://evalmap.ai/releases/ # What came out, and what is coming. 161 releases of 158 models between 21 Aug and 9 Nov 2026 — 104 of language models, 56 of open weights — each dated and linked to its primary source: the maker’s own post or page, or, for the one model whose maker is not known, the service that offered it. Above them, the models the public signals point to for the week of 5–11 Nov. A dated snapshot, not a feed: it does not update by itself. Nothing here is measured. The chart takes one thing from this page: a ring, with its date, around each configuration on the atlas first made available between 21 Aug and 9 Nov. Nothing from the forecast reaches it. [The odds](https://evalmap.ai/releases/#odds)[Expected 5–11 Nov](https://evalmap.ai/releases/#expected)[The record](https://evalmap.ai/releases/#record)[Released since 21 Aug](https://evalmap.ai/releases/#released)[How this was put together](https://evalmap.ai/releases/#rel-about) 161releases2expected this week0long shots13further out ## The odds, 19 Oct EvalMap’s own number for each model being out — in an API, an app or as downloadable weights — by each of the next three month-ends. The dates stay fixed, so a number can be compared with the day before (14 Oct; the arrows are the change in points). Beside each, what a prediction market paid for the same date when the numbers were set, where one exists; a market’s question is its own and can be wider than ours. The news comes from a daily search with the grok CLI, and each number says what it rests on. The day’s news. The 12-19 Oct pass found DeepSeek-V4.1-Flash-1017 (17 Oct), not V4.1-Pro, and no maker date for any older open question; NVIDIA's Bolt E4B (23 Oct), FastH3-Omni's weights (20 Oct), Mistral Large 4's weights and MiMo-V3 join the questions. | Model | by 31 Oct | by 30 Nov | by 31 Dec | | --- | --- | --- | --- | | Nemotron 3.5 Bolt E4B (NVIDIA named 23 Oct)NVIDIANVIDIA dates it: 'Bolt E4B coming Oct. 23', and it shipped Bolt 74B on the day it named. Not out by 19 Oct. [blogs.nvidia.com ↗](https://blogs.nvidia.com/blog/nemotron-3-5-super-vl/) [blogs.nvidia.com ↗](https://blogs.nvidia.com/blog/local-ai-rtx-spark-laptops-software-updates/) | 93%no market | 97%no market | 98%no market | | FastH3-Omni open weights (FastVideo named 20 Oct)FastVideo (Hao AI Lab)FastVideo said on 13 Oct that the final FastH3-Omni model 'will be fully open sourced on October 20'; the preview API is already open. A small lab's date can slip a little. [x.com ↗](https://x.com/haoailab/status/2110065113252483212) [nuvalab.ai ↗](https://nuvalab.ai/fasth3/) | 85%no market | 93%no market | 95%no market | | Mistral Large 4 open weightsMistral AIMistral's own page, since the 6 Oct preview API: 'Weights drop end of this month'. Nothing on Hugging Face by 19 Oct; a maker promise for this month, with some room to slip. [mistral.ai ↗](https://mistral.ai/news/mistral-large-4/) | 80%no market | 92%no market | 95%no market | | Grok 4.8xAI · [its card](https://evalmap.ai/releases/#x-grok-4-8)Grok 4.8 is not in xAI's news, release notes or OpenRouter by 19 Oct, and xAI has given no date since Musk's 14 Sep post. October eases, close to Manifold. [x.ai ↗](https://x.ai/news) [docs.x.ai ↗](https://docs.x.ai/developers/release-notes) | 24%↓6 points since 14 Oct[market 15%](https://manifold.markets/Bayesian/grok-48-xai-release-date) | 70%↓2 points since 14 Oct[market 63%](https://manifold.markets/Bayesian/grok-48-xai-release-date) | 85%=[market 89%](https://manifold.markets/Bayesian/grok-48-xai-release-date) | | The Claude model after Fable 5.1Anthropic · [its card](https://evalmap.ai/releases/#x-next-fable-model)Azure listed a claude-fable-5-5 ID on 13 Oct and dropped it on 14 Oct; one account says partners got a second Fable 5.5 checkpoint on 18 Oct. Raised, but Anthropic has said nothing, so we stay well below the market's 84%. [x.com ↗](https://x.com/lyraxana/status/2111891363230814426) [github.com ↗](https://github.com/BerriAI/litellm/pull/46345) | 42%↑6 points since 14 Oct[market 84%](https://polymarket.com/event/next-fable-model-5pt2-released-byptptpt) | 65%↑5 points since 14 Octno market | 78%↑3 points since 14 Oct[market 98%](https://polymarket.com/event/next-fable-model-5pt2-released-byptptpt) | | Qwen4, any of the seriesAlibaba · [its card](https://evalmap.ai/releases/#x-qwen4)Nothing on Qwen's Hugging Face organisation or the QwenCloud changelog through 18 Oct, and the 10 Oct teaser names no model. October eases; Manifold's 84% rests on an anonymous Reddit post we cannot source. [huggingface.co ↗](https://huggingface.co/Qwen) | 26%↓5 points since 14 Oct[market 84%](https://manifold.markets/Bayesian/when-will-alibaba-release-qwen-4) | 57%↓3 points since 14 Octno market | 76%↓2 points since 14 Octno market | | Kimi K3.1Moonshot AIA 16 Oct post by a usually reliable account: 'Kimi K3.x is not currently ready. I wouldn't expect it today or early next week.' Moonshot's changelog still ends at K3. October falls. [x.com ↗](https://x.com/ChrisGPT/status/2111157575479890332) | 24%↓12 points since 14 Octno market | 52%↓8 points since 14 Octno market | 68%↓4 points since 14 Octno market | | Muse Spark 1.4 or a newer Muse SparkMetaNo Meta signal of a Muse Spark 1.4 in the 12-19 Oct pass; Meta's new models were Muse Wonder and the open Muse Spark. October eases. [about.fb.com ↗](https://about.fb.com/news/2026/10/introducing-muse-wonder-models/) | 15%↓3 points since 14 Oct[market 7%](https://polymarket.com/event/next-muse-spark-1pt4-released-byptptpt) | 48%↓2 points since 14 Octno market | 70%↓2 points since 14 Octno market | | DeepSeek V4.1-ProDeepSeek · [its card](https://evalmap.ai/releases/#x-deepseek-v4-1-pro)DeepSeek shipped V4.1-Flash-1017 on 17 Oct, an update of Flash, not Pro, and gave no Pro date. October is near the market; November stays above Polymarket's 14%, since Pro was named on 10 Sep, and December below Manifold's 81% on a thin book. [api-docs.deepseek.com ↗](https://api-docs.deepseek.com/updates) | 14%↓4 points since 14 Oct[market 10%](https://polymarket.com/event/next-deepseek-pro-released-byptptpt) | 37%↓3 points since 14 Oct[market 14%](https://polymarket.com/event/next-deepseek-pro-released-byptptpt) | 63%↓2 points since 14 Oct[market 81%](https://manifold.markets/Bayesian/v41-pro-deepseek-release-date) | | MiMo-V3Xiaomi · [its card](https://evalmap.ai/releases/#x-mimo-v3)Named by Xiaomi's MiMo lead on 23 Sep with no date; Xiaomi's 21 Oct API change moves V2.5 users to V2.6, not V3. No sign of a launch soon. [x.com ↗](https://x.com/_LuoFuli/status/2102766365190901957) | 10%no market | 30%no market | 50%no market | | GPT-6 TerraOpenAINo Terra signal from OpenAI in the 12-19 Oct pass; its only new model was GPT-Live-1.1 (15 Oct). Polymarket jumped to 73% by 31 Oct on a thin book of under $8k, with November no higher, and we found no news behind it, so we stay well below. [openai.com ↗](https://openai.com/news/) | 9%↓2 points since 14 Oct[market 73%](https://polymarket.com/event/next-openai-gpt-terra-5pt7-released-byptptpt) | 21%↓1 points since 14 Oct[market 72%](https://polymarket.com/event/next-openai-gpt-terra-5pt7-released-byptptpt) | 31%↓1 points since 14 Octno market | Settled: A new OpenAI model (DevDay is 29 Sep) — out on 29 Sep as GPT-6.1 Sol. Settled: GPT-6 Terra — out on 26 Oct as GPT-6.1 Terra. Settled: Claude Sonnet 5.5 — out on 28 Sep as Claude Sonnet 5.5. Settled: Claude Haiku 5.5 — out on 7 Oct as Claude Haiku 5.5. Settled: Gemini 4, any tier — out on 13 Oct as Gemini 4 Argon. Settled: Watermelon — out on 12 Oct as Muse Wonder and Muse Wonder Full (Watermelon). Settled: Muse Spark open weights — out on 15 Oct as Muse Spark Open. Settled: Kimi K3.1 — out on 23 Oct as Kimi K3.1 Pro. Settled: A new MiniMax model — out on 27 Sep as MiniMax-M3.1-Flash-Preview. Settled: Step 5 open weights (StepFun named 15 Oct) — out on 15 Oct as Step 5 Preview open weights. Settled: Nemotron 3.5 Bolt E4B (NVIDIA named 23 Oct) — out on 23 Oct as Nemotron 3.5 Bolt E4B. Settled: FastH3-Omni open weights (FastVideo named 20 Oct) — out on 20 Oct as FastH3-Omni open weights. Settled: Mistral Large 4 open weights — out on 29 Oct as Mistral Large 4. Each day’s numbers are sealed in the site’s sources and never rewritten. Once a date has passed they are scored against the release list below, and the markets with them — [the record](https://evalmap.ai/releases/#record) keeps the score. ## Expected 5–11 Nov What the makers have teased, what has leaked, and what their calendars say. How likely each one looks is EvalMap’s reading of those signals — the only forecast on this site — and every card links to the posts it rests on. - Likely — the maker itself has said it is coming this week. - Possible — leaks, sightings in code or cloud quotas, or an event on the calendar point to this week, but nothing from the maker names both the model and a day in it. - Long shot — nothing points to this week in particular. - Announced — the maker has named the model and said it is coming, but given no day; it sits on the day it was announced. Thu 5Fri 6Sat 7Sun 8Mon 9Tue 10Wed 11 No day named[Next Fable model, possible, 5–11 Nov, no day named: a Fable 5.5 ID was seen in Azure on 13 Oct and testers post output they attribute to Fable 5.5; nothing from Anthropic](https://evalmap.ai/releases/#x-next-fable-model)[OpenAI’s next model, possible, 5–11 Nov, no day named; the GPT‑6 Astra Cyber model OpenAI called ‘upcoming’ on 23 Oct came on 5 Nov as GPT‑6 Cyber, for approved Daybreak Red users only](https://evalmap.ai/releases/#x-openai-next-model)[Grok 4.8, announced, no date, Named by Elon Musk on 14 Sep: pre-training to finish that week, then RL; no date](https://evalmap.ai/releases/#x-grok-4-8)[Qwen4, announced, no date, Officially announced 22 Sep at Apsara: in training, “coming soon”, no date given (named on 26 Aug as the architecture Qwen3.8-Flash previews)](https://evalmap.ai/releases/#x-qwen4)[DeepSeek V4.1-Pro, announced, no date, Named by DeepSeek on 10 Sep, with no date given](https://evalmap.ai/releases/#x-deepseek-v4-1-pro)[MiMo-V3, announced, no date, Named by Xiaomi’s MiMo lead Fuli Luo on 23 Sep, with its architecture; no date](https://evalmap.ai/releases/#x-mimo-v3)[Kardashev-0.7, announced, no date, Announced 5 Oct; API-beta waitlist, homepage says ‘soon’, no release date](https://evalmap.ai/releases/#x-kardashev-0-7)[Fern 0.1, announced, no date, Announced 26 Oct as Mirendil’s first model; access ‘Coming soon’, early-access requests only, no release date](https://evalmap.ai/releases/#x-mirendil-fern-0-1) 5–11 Nov, no day named: a Fable 5.5 ID was seen in Azure on 13 Oct and testers post output they attribute to Fable 5.5; nothing from Anthropic [The odds](https://evalmap.ai/releases/#odds-claude-fable-next): 42% by 31 Oct · 65% by 30 Nov · 78% by 31 Dec @notjazii 18 Sep: 'fable next model entered stealth testing today, so i don’t think it's coming out anytime soon'; @chetaslua 18 Sep: outputs 'routed from fable 5.1'; @testingcatalog 21 Sep: 'The next Fable model was also A/B tested on Claude Code recently'. Nothing from Anthropic. @chetaslua 13 Oct: ‘Claude Fable 5.5 just showed up in Microsoft Azure’ (TrueFoundry’s models bot), and 14 Oct: Microsoft’s raw record shows it registered on 28 Sep, the day of Sonnet and Haiku 5.5, in nine regions. LiteLLM added azure_ai/claude-fable-5-5 from the Azure Models API on 13 Oct; a bot pull request on 14 Oct to remove it, saying Azure no longer lists the model, was closed without merging. Anthropic’s Fable page still ends at Fable 5.1. 16 Oct pass: no release. 19 Oct pass: no release. The Azure line was gone by 14 Oct and cannot be opened now; @lyraxana 18 Oct: ‘Partners got access to a second Fable 5.5 checkpoint, which so far seems stronger than the first one’ (one account, not confirmed). Anthropic still says nothing. 21 Oct pass: no release; Anthropic’s Fable page, read on 21 Oct, still ends at Fable 5.1 (1 Sep). @testingcatalog 19 Oct, citing The Information: Anthropic is preparing a new model that better understands what users mean, not named as Fable or Opus. 22 Oct pass: no release; the Fable page, read on 22 Oct, still ends at Fable 5.1. Anthropic’s 21 Oct launch, Claude Duet, is an app built on Opus 5.5, not a model. 23 Oct pass: no release; Anthropic’s Fable page, read on 23 Oct, still ends at Fable 5.1 (1 Sep), and Anthropic’s 22 Oct news (Agent Skills; Claude on Google Cloud managed by Anthropic) names no new model. 25 Oct pass: no release; Anthropic’s Fable page, read on 25 Oct, still ends at Fable 5.1 (1 Sep), and the newest entry in Anthropic’s platform release notes is still 22 Oct (Claude on Google Cloud managed by Anthropic). 27 Oct pass: no release; Anthropic’s Fable page, read on 27 Oct, still ends at Fable 5.1 (1 Sep). The newest entry in Anthropic’s platform release notes is now dated 23 Oct (the Claude Tag API in beta, a feature), and Anthropic’s 26 Oct news is its S-1 filing for an IPO, not a model. @ChrisGPT 25 Oct: ‘Sources tell me Fable 5.5 has been rolled out the enterprise, including JP Morgan, Meta and other “top clients”’ (one account, not confirmed). 28 Oct pass: no release; Anthropic’s Fable page and models overview, read on 28 Oct, still end at Fable 5.1, the newest entry in its platform release notes is still dated 23 Oct, and its news of 27–28 Oct (drug development, a GSA agreement, AI for Science) names no model. Cognition’s FrontierCode 2.0 data, as archived at 19:48 UTC on 27 Oct, listed an unnamed ‘Obsidian 3’ in the claude-code harness at 46.8% on high effort, against 45.5% for Opus 5.5 at max; @tensorson 27 Oct: ‘My guess: Fable 5.5.’ The entry was gone from the file by 13:21 UTC on 28 Oct, and the file had given it MiniMax’s colour rather than Anthropic’s, so the guess is not established. 29 Oct pass: no release; Anthropic’s Fable page, models overview and platform release notes, read on 29 Oct, are unchanged since 28 Oct and still end at Fable 5.1, with the newest release note dated 23 Oct; Anthropic’s newest news post is still the 28 Oct expansion of AI for Science, and Cognition’s FrontierCode 2.0 data file is byte-identical to its 28 Oct copy. 5 Nov pass: no release. Anthropic’s models overview, read on 5 Nov, still ends at Fable 5.1; its platform release notes add entries of 30 Oct, 2 Nov and 3 Nov, none a model; its newsroom has no post newer than 27 Oct; OpenRouter has no Fable model newer than claude-fable-5.1. @chetaslua posted demos he attributes to ‘Fable 5.5’ from 1 to 2 Nov and guessed on 1 Nov that ‘tuesday can be launch day as they added Mythos 5.5 to their website frontend code’; Tuesday 3 Nov passed with no release, and Anthropic has named no model. 7 Nov pass: no release; Anthropic’s models overview and Fable page, read on 7 Nov, still end at Fable 5.1, and OpenRouter has no Anthropic model newer than claude-haiku-5.5 (7 Oct). @testingcatalog, 6 Nov 09:59 UTC: ‘Claude Fable 5.5, soon’, with no word from Anthropic. 8 Nov pass: no release; Anthropic’s models overview, read on 8 Nov, still ends at Fable 5.1, its release notes end at 5 Nov, and OpenRouter has no Anthropic model newer than claude-haiku-5.5 (7 Oct). [x.com ↗](https://x.com/notjazii/status/2100940408624939447) [x.com ↗](https://x.com/chetaslua/status/2101071418507366895) [x.com ↗](https://x.com/testingcatalog/status/2101960963838574608) [x.com ↗](https://x.com/chetaslua/status/2110032565927329992) [x.com ↗](https://x.com/chetaslua/status/2110334798694859171) [github.com ↗](https://github.com/BerriAI/litellm/pull/46201) [github.com ↗](https://github.com/BerriAI/litellm/pull/46345) [x.com ↗](https://x.com/lyraxana/status/2111891363230814426) [x.com ↗](https://x.com/testingcatalog/status/2112195306695647502) [x.com ↗](https://x.com/ChrisGPT/status/2114450507616129300) [x.com ↗](https://x.com/tensorson/status/2115189508870385964) [web.archive.org ↗](https://web.archive.org/web/20261027194809/https://cognition.com/data/frontier-code-2.0/data.json) [x.com ↗](https://x.com/chetaslua/status/2116975056014430419) 5–11 Nov, no day named; the GPT‑6 Astra Cyber model OpenAI called ‘upcoming’ on 23 Oct came on 5 Nov as GPT‑6 Cyber, for approved Daybreak Red users only OpenAI to The Register, 29 Sep, after dropping GPT-6.1 Astra: ‘more Astra models are coming, and other new models that have cleared its safety bar will arrive "very soon."’ Sam Altman to reporters the same day: ‘there will be major new models, of course’, while OpenAI invests more in safety for now. Codex’s alpha of 1 Oct listed no model beyond GPT-6.1 Sol, GPT-6 Sol, Luna and Astra. The official API changelog and model catalog reread on 4 Oct established no fresh named checkpoint or exact release day. The older ‘very soon’ statement remains a long-shot signal for 8–14 Oct, not a model-specific ETA. On 7 Oct OpenAI brought the October versions of GPT-6 Sol and Luna to ChatGPT (listed as a release); the 8 Oct pass found no newly named API model. 16 Oct pass: no release. 19 Oct pass: no release; the only OpenAI model in the window is GPT-Live-1.1 (15 Oct), already listed. 21 Oct pass: no release; the API changelog’s 20 Oct entry is 12-hour prompt caching, a feature. The GPT-6.1 Terra signals of 19 Oct have a card of their own. 22 Oct pass: no release; the API changelog’s 21 Oct entry is per-project service-tier settings, and OpenAI’s 21 Oct post on Google Cloud Model Garden is distribution, not a model. 23 Oct pass: no release; the API changelog’s 22 Oct entry, read on 23 Oct, is the Decisions API reaching general availability with gpt-6-luna, a feature on a released model. 25 Oct pass: no release; OpenAI’s API changelog, read on 25 Oct, still ends at its 22 Oct entry. OpenAI’s 23 Oct post on securing its training environment, read on 25 Oct through the Internet Archive because openai.com refused the request: ‘We used some of our most capable and aligned models, including our upcoming GPT‑6 Astra Cyber model and an internal frontier model.’ No date is given, and whether Astra Cyber is a new model or a version of GPT‑6 Astra, like GPT‑6 Astra Law, is not established. 27 Oct pass: no other new model. GPT-6.1 Terra, released on 26 Oct, is on its own card; OpenAI’s API changelog, read on 27 Oct, has nothing after it, and OpenAI’s models page lists GPT-6 Astra, GPT-6.1 Sol, GPT-6.1 Terra and GPT-6 Luna, with no GPT‑6 Astra Cyber. @thsottiaux (Codex and ChatGPT at OpenAI) 26 Oct: ‘Day 21/ Wonder what happens the remaining seven days’, naming no model or day; @notjazii 27 Oct: an OpenAI model in the Arena that he takes for GPT-6.1 Luna (one account, not confirmed). 28 Oct pass: no new model; OpenAI’s API changelog, read on 28 Oct, adds only a 28 Oct entry on free API credits for ChatGPT Pro and Business subscribers, a feature, its models page still lists no GPT‑6 Astra Cyber, and OpenAI’s news of 27–28 Oct is partnerships with Oracle and ServiceNow. @thsottiaux 28 Oct: ‘And it's done. See you tomorrow for some good news.’, naming no model. 29 Oct pass: no new model. OpenAI’s ChatGPT release notes for 28 Oct, read on 29 Oct, add ‘Texting your dot’, a beta for Pro users in the U.S., and ‘API credits for eligible ChatGPT Pro and Business plans’, both features; its API changelog, Codex changelog and models page, read the same day, are unchanged since 28 Oct and list no GPT‑6 Astra Cyber. @thsottiaux’s ‘See you tomorrow for some good news.’ (06:29 UTC on 28 Oct, late on 27 Oct in Pacific time) quotes his own ‘Lands by midnight PST.’ about a usage reset; his posts through 23:35 UTC on 28 Oct name no news or model, the last saying of a ChatGPT Chat and Work merger: ‘Team is working on this but it's not rolling out just yet’. 29 Oct second pass: no new model. OpenAI’s API changelog, models page, Codex changelog and ChatGPT release notes, read again on 29 Oct, have no new model, and its news page still ends at its 28 Oct posts. @thsottiaux’s next post in his series, at 01:49 UTC on 29 Oct, is about a feature: ‘Day 24/ Text your dot just like anyone else.’ OpenAI’s API reference for image edits, read at 07:46 UTC on 29 Oct, says of its markup parameter: ‘Supports GPT Image 2.5 and 2.6.’ The endpoint’s model list has nothing newer than gpt-image-2.5-sunburst and gpt-image-2.5-flare, so GPT Image 2.6, an image model, has no ID or date there; @TokenGremlin pointed to the line at 04:58 UTC on 29 Oct. GPT Image 2.6 has a card of its own. 5 Nov pass: no new language model. OpenAI’s 4 Nov launch was an image model, ChatGPT Images 2.6 with GPT-Image-2.6 Flare and Sunburst in the API (listed under its own card). @testingcatalog’s brief of 09:06 UTC on 5 Nov says ‘GPT-6.2 Astra and Sol showed up on Google Cloud quotas, and The Information says they could ship as soon as Friday’, citing @AiBattle_, and that an OpenAI security pipeline used ‘an upcoming cyber model’; OpenAI itself has not named GPT-6.2, and its API changelog and models page, read on 5 Nov, list no language model newer than GPT-6.1 Terra. @steph_palazzolo of The Information, 4 Nov 15:09 UTC: ‘new Sol, Astra and cyber models from OpenAI could be coming as soon as Friday’ (6 Nov). 7 Nov pass: no public model. On 5 Nov 17:09 UTC @OpenAI introduced GPT‑6 Cyber, a cyber-specialised post-train of GPT‑6 Astra available only to approved Daybreak Red users (deploymentsafety.openai.com/gpt-6-cyber), so it is not a public model; the same thread announced a ‘Cyber at the Frontier’ livestream on 12 Nov 10:00 PT with no model named. 8 Nov pass: no public model; OpenAI’s API changelog, read on 8 Nov, ends at GPT‑6 Cyber (5 Nov), the Internet Archive’s copies of the ChatGPT release notes (8 Nov 10:54 UTC) and of OpenAI’s news page (7 Nov 16:31 UTC) name no newer model, and OpenRouter has nothing from OpenAI newer than gpt-6.1-terra-pro (26 Oct). 9 Nov pass: no public model; OpenAI’s API changelog, read on 9 Nov, still ends at GPT‑6 Cyber (5 Nov), and @OpenAIDevs’ ‘Tomorrow.’ teaser of 8 Nov 20:04 UTC is for the ModRetro Chromatic, not a model. The ‘Cyber at the Frontier’ page still names no model. [theregister.com ↗](https://www.theregister.com/ai-and-ml/2026/09/29/openai-benches-gpt-61-astra-for-overstepping-the-mark/5299743) [thestar.com.my ↗](https://www.thestar.com.my/tech/tech-news/2026/09/30/openai-unveils-low-cost-ai-model-a-day-after-shelving-astra-upgrade) [npmjs.com ↗](https://www.npmjs.com/package/@openai/codex) [developers.openai.com ↗](https://developers.openai.com/api/docs/changelog) [developers.openai.com ↗](https://developers.openai.com/api/docs/models) [openai.com ↗](https://openai.com/index/securing-our-frontier-model-training-environment/) [x.com ↗](https://x.com/thsottiaux/status/2114588174249071102) [x.com ↗](https://x.com/notjazii/status/2115061380621779027) [x.com ↗](https://x.com/thsottiaux/status/2115330127886463244) [help.openai.com ↗](https://help.openai.com/en/articles/6825453-chatgpt-release-notes) [x.com ↗](https://x.com/thsottiaux/status/2115273253711409208) [x.com ↗](https://x.com/thsottiaux/status/2115588390414581916) [developers.openai.com ↗](https://developers.openai.com/api/reference/resources/images/methods/edit) [x.com ↗](https://x.com/thsottiaux/status/2115622002581188681) [x.com ↗](https://x.com/TokenGremlin/status/2115669700105380078) [x.com ↗](https://x.com/testingcatalog/status/2118268779901628880) [x.com ↗](https://x.com/steph_palazzolo/status/2117997555778744815) [x.com ↗](https://x.com/AiBattle_/status/2118123362245587208) [x.com ↗](https://x.com/OpenAI/status/2118390190246879554) [x.com ↗](https://x.com/OpenAI/status/2118390195099930906) [deploymentsafety.openai.com ↗](https://deploymentsafety.openai.com/gpt-6-cyber) [x.com ↗](https://x.com/OpenAIDevs/status/2119521359185478140) ### Further out Named by Elon Musk on 14 Sep: pre-training to finish that week, then RL; no date [The odds](https://evalmap.ai/releases/#odds-grok-4-8): 24% by 31 Oct · 70% by 30 Nov · 85% by 31 Dec @elonmusk 14 Sep: 'Grok 4.8, which is a 2.5T model trained with our new C++ software stack, will finish training this week and start RL', and later that day: 'Grok 4.8 will be a noticeable improvement'. No date; Grok 4.7 came out on 21 Sep. Since then only code: on 29 Sep xAI’s own Grok Build repository added grok-4.8 to its model-picker tests, with 256K and 500K context windows, and on 28 Sep a commit to Magpie, a usage tool, recorded grok-4.8 on Cursor’s server model list (@LuminaBench). Neither gives a date. The 8 October pass found no newer maker signal. 16 Oct pass: no release; docs.x.ai release notes (last updated 13 Oct) list Grok Voice 3.0 on 14 Oct and no Grok 4.8. Fan accounts’ ‘October’ guesses rest on Musk’s 14 Sep post. 19 Oct pass: no release; Grok 4.8 is not in xAI’s news, its release notes or OpenRouter on 19 Oct, and xAI has given no date. 21 Oct pass: no release; docs.x.ai release notes, read on 21 Oct, list only Grok Voice 3.0 and deprecations for October. 22 Oct pass: no release; docs.x.ai release notes, read on 22 Oct, still list only Grok Voice 3.0 and deprecations for October, with Grok 4.7 the newest model. 23 Oct pass: no release; docs.x.ai release notes, read on 23 Oct, still list only Grok Voice 3.0 and deprecations for October, and xAI’s 22 Oct news is a partner programme, not a model. 25 Oct pass: no release; docs.x.ai release notes, read on 25 Oct, still list only Grok Voice 3.0 and deprecations for October, with Grok 4.7 the newest model. 27 Oct pass: no release; docs.x.ai release notes and models page, read on 27 Oct, still end at Grok Voice 3.0 (14 Oct) with Grok 4.7 the newest model, and OpenRouter on 27 Oct has no Grok 4.8; no new signal from xAI or Elon Musk was found. 28 Oct pass: no release; docs.x.ai release notes, read on 28 Oct, add only a 27 Oct entry on custom moderation controls, a feature, with Grok 4.7 still the newest model; xAI’s news page, read the same day, has a 27 Oct post on Grok Bot and no new model, and OpenRouter has no Grok 4.8. No new signal from xAI or Elon Musk was found. 29 Oct pass: no release; docs.x.ai release notes and models page, read on 29 Oct, are unchanged since 28 Oct, with Grok 4.7 the newest model; xAI’s news page still ends at its 27 Oct Grok Bot post, and OpenRouter has no Grok 4.8. No new signal from xAI or Elon Musk was found. 5 Nov pass: no release; docs.x.ai’s models page, read on 5 Nov, still has Grok 4.7 as the newest model, its release notes add only a 2 Nov entry retiring an Imagine image-quality option, and OpenRouter has no Grok 4.8. Elon Musk’s posts from 3 to 5 Nov name no Grok 4.8. @elonmusk, 30 Oct 05:17 UTC, in a reply: ‘I know it’s taken longer than expected, but Grok 4.8 will not be a disappointment’, with no date. 7 Nov pass: no release; docs.x.ai’s models page and release notes, read on 7 Nov, still have Grok 4.7 as the newest model, OpenRouter has nothing from xAI newer than grok-4.7 (21 Sep), and no X post in the window names Grok 4.8. 8 Nov pass: no release; docs.x.ai’s models page and release notes, read on 8 Nov, still have Grok 4.7 as the newest model (the last note is a retirement on 2 Nov), and OpenRouter has nothing from xAI newer than grok-4.7 (21 Sep). [x.com ↗](https://x.com/elonmusk/status/2099308197802631191) [x.com ↗](https://x.com/elonmusk/status/2099458047408013751) [github.com ↗](https://github.com/xai-org/grok-build/commit/97f190f644ae1ba07fd6ee185ef54c650e142666) [github.com ↗](https://github.com/yetone/magpie/commit/112471fb2deb) [x.com ↗](https://x.com/LuminaBench/status/2104505848223461846) [x.com ↗](https://x.com/LuminaBench/status/2105020843600543915) [x.ai ↗](https://x.ai/news) [x.com ↗](https://x.com/elonmusk/status/2116036703538606301) Officially announced 22 Sep at Apsara: in training, “coming soon”, no date given (named on 26 Aug as the architecture Qwen3.8-Flash previews) [The odds](https://evalmap.ai/releases/#odds-qwen4): 26% by 31 Oct · 57% by 30 Nov · 76% by 31 Dec Alibaba Cloud press room, 22 Sep: ‘its next-generation model, Qwen 4, is currently in training’, with Qwen 4.5 and Qwen 5 to scale to 5–10 trillion parameters. The keynote slide that morning, filmed from the hall by @CuiMao: ‘Qwen4 Series Coming Soon’, naming Qwen4-Max, Qwen4-Flash & Qwen4-Plus and Qwen4-27B (the four names appear only on that slide). TechWeb reports that Qwen4 is training on a new architecture. @Alibaba_Qwen had first named it on 26 Aug, calling Qwen3.8-Flash ‘an early preview of the Qwen4 architecture’. No weights, API, price or date yet: nothing on Hugging Face, ModelScope or Model Studio. @AiBattle_ 25 Sep: Qwen took applications to test an unnamed preview model, ‘qwen-latest-series-invite-2609’, until 30 Sep. The 8 October pass found no newer maker signal. @QwenDevs, 10 Oct: ‘big or small?’ then ‘alright guys, let’s do both!’, with a picture of two capybaras in Qwen shirts and no model name or date. The same day @0x0SojalSec claimed ‘27B variants land first … this week might be’, naming no source: a single-origin rumour, not a date. 16 Oct pass: no release. Qwen’s Hugging Face organisation ends at Qwen-Image-2.1-Turbo (9 Oct) and Model Studio’s newly-released list names no Qwen4 model. A r/LocalLLaMA post of 6 Oct claiming end-of-October cites no source. 19 Oct pass: no release; nothing on Qwen’s Hugging Face organisation or the QwenCloud changelog through 18 Oct. 21 Oct pass: no release; Qwen’s Hugging Face organisation, read on 21 Oct, still ends at Qwen-Image-2.1-Turbo (9 Oct). 22 Oct pass: no release; Qwen’s Hugging Face organisation on 22 Oct still ends at Qwen-Image-2.1-Turbo (9 Oct). 23 Oct pass: no release; Qwen’s Hugging Face organisation on 23 Oct still ends at Qwen-Image-2.1-Turbo (9 Oct), and the QwenCloud changelog’s 22 Oct entries are partner PixVerse models. 25 Oct pass: no release; Qwen’s Hugging Face organisation, read on 25 Oct, still ends at Qwen-Image-2.1-Turbo (9 Oct) and has nothing named Qwen4, and the QwenCloud changelog still ends at its 22 Oct partner PixVerse entries. 27 Oct pass: no release; Qwen’s Hugging Face organisation, read on 27 Oct, still ends at Qwen-Image-2.1-Turbo (9 Oct) and has nothing named Qwen4, and the QwenCloud changelog’s newest entry, 26 Oct, is the US deployment of GLM-5.3, a partner model. 28 Oct pass: no release; Qwen’s Hugging Face organisation, read on 28 Oct, still ends at Qwen-Image-2.1-Turbo (9 Oct) and has nothing named Qwen4, and the QwenCloud changelog’s 27 Oct entries are qwen-audio-3.1-realtime-flash, a speech model, and new regions for qwen3.8-flash. 29 Oct pass: no release; Qwen’s Hugging Face organisation and the QwenCloud changelog, read on 29 Oct, are byte-identical to 28 Oct: the newest repository is still Qwen-Image-2.1-Turbo (9 Oct), the newest changelog entries are still those of 27 Oct, and nothing is named Qwen4. 5 Nov pass: no release; Qwen’s Hugging Face organisation, read on 5 Nov, still ends at Qwen-Image-2.1-Turbo (9 Oct) and has no repository named Qwen4, and the QwenCloud changelog still ends at its 27 Oct entries. @jtdavies, 29 Oct 09:20 UTC, from an event in Amsterdam: ‘Qwen4, coming soon… CTO quote was “next week”’, second-hand and with no Qwen post behind it. 7 Nov pass: no release. @Alibaba_Qwen, 6 Nov 12:00 UTC: ‘The becoming begins.’, with no name or date; not on Hugging Face, OpenRouter or Qwen Cloud on 7 Nov. A 10 Nov date circulates only from community accounts. @QwenDevs (Qwen’s developer account), 6 Nov 14:46:50 UTC, quoting that post: ‘Qwhen? Qsoon!’ — still no name or date. 8 Nov pass: no release; Qwen’s Hugging Face organisation, read on 8 Nov, has nothing newer than Qwen-Image-2.1-Turbo (9 Oct), Model Studio’s list of new models ends at 27 Oct, and OpenRouter has no Qwen4. Testers tie Qoduck, the stealth model Qoder made free on 7 Nov, to Qwen by its tokenizer (@aitrackerbot, 7 Nov 02:38 UTC); Qoder says its origin is undisclosed, and a tokenizer match is not a source from the maker. 9 Nov pass: no release; Qoder, 9 Nov 07:44 UTC, still calls Qoduck ‘Still in stealth’, and its page still says its identity ‘has yet to be disclosed’; Qwen’s Hugging Face organisation has nothing newer than Qwen-Image-2.1-Turbo (9 Oct). [alibabacloud.com ↗](https://www.alibabacloud.com/press-room/alibaba-unveils-roadmap-on-full-stack-ai-strategy) [x.com ↗](https://x.com/CuiMao/status/2102228543782723643) [finance.sina.com.cn ↗](https://finance.sina.com.cn/tech/roll/2026-09-22/doc-inissitp2240919.shtml) [x.com ↗](https://x.com/Alibaba_Qwen/status/2092591393424515114) [x.com ↗](https://x.com/AiBattle_/status/2103470856517423288) [x.com ↗](https://x.com/QwenDevs/status/2108764909798641737) [x.com ↗](https://x.com/QwenDevs/status/2108827211524608114) [x.com ↗](https://x.com/0x0SojalSec/status/2108790067871523291) [x.com ↗](https://x.com/jtdavies/status/2115735632739754231) [x.com ↗](https://x.com/Alibaba_Qwen/status/2118674834632978755) [x.com ↗](https://x.com/QwenDevs/status/2118716745372532865) [x.com ↗](https://x.com/aitrackerbot/status/2118895798943445398) [x.com ↗](https://x.com/qoder_ai_ide/status/2119697747435778308) [docs.qoder.com ↗](https://docs.qoder.com/events/qoduck-free) Announced 22 Sep at Apsara: ‘set to launch later this year’ Alibaba Cloud press room, 22 Sep: ‘Qwen-Image 3.1, an image-generation model optimized for creative design and e-commerce marketing, is set to launch later this year’, with native transparent-background generation. Qwen-Image-2.1 came out on 20 Sep. 16 Oct pass: no release. 19 Oct pass: no release. 21 Oct pass: no release; nothing new on Qwen’s Hugging Face organisation on 21 Oct. 22 Oct pass: no release; nothing new on Qwen’s Hugging Face organisation on 22 Oct. 23 Oct pass: no release; no Qwen-Image 3.1 in Qwen’s Hugging Face organisation, the QwenCloud changelog or Model Studio on 23 Oct. 25 Oct pass: no release; no Qwen-Image 3.1 in Qwen’s Hugging Face organisation or the QwenCloud changelog on 25 Oct. 27 Oct pass: no release; no Qwen-Image 3.1 in Qwen’s Hugging Face organisation or the QwenCloud changelog on 27 Oct. 28 Oct pass: no release; no Qwen-Image 3.1 in Qwen’s Hugging Face organisation or the QwenCloud changelog on 28 Oct. 29 Oct pass: no release; no Qwen-Image 3.1 in Qwen’s Hugging Face organisation or the QwenCloud changelog on 29 Oct. 5 Nov pass: no release; no Qwen-Image 3.1 in Qwen’s Hugging Face organisation or the QwenCloud changelog on 5 Nov. 7 Nov pass: no release; Qwen’s Hugging Face organisation, read on 7 Nov, has no Qwen-Image newer than Qwen-Image-2.1-Turbo (9 Oct), and the QwenCloud changelog has no Qwen-Image 3.1. 8 Nov pass: no release; Qwen’s Hugging Face organisation, read on 8 Nov, has no Qwen-Image newer than Qwen-Image-2.1-Turbo (9 Oct). [alibabacloud.com ↗](https://www.alibabacloud.com/press-room/alibaba-unveils-roadmap-on-full-stack-ai-strategy) Named by DeepSeek on 10 Sep, with no date given [The odds](https://evalmap.ai/releases/#odds-deepseek-v4-1-pro): 14% by 31 Oct · 37% by 30 Nov · 63% by 31 Dec DeepSeek’s September news page says that from 04:00 UTC on 14 Sep all deepseek-v4-pro requests will route to V4.1-Flash at V4.1-Flash rates ‘until V4.1-Pro launches’. Its official updates index, dated 10 Sep, instead says V4 Pro API service will continue after 14 Sep with ‘the billing method remaining unchanged’. Both were reread on 3 Oct. These are differing official formulations: billing method need not mean rates or checkpoint. Revision chronology and current backend routing were not verified, and no model API was called. V4.1-Pro was named in September, but no new launch date is supplied. @buildwithhassan’s 25 Sep report of briefly visible OpenCode sitemap names and the 26 Sep secondary ‘V5’ rumour do not establish callable models or a release date. The 8 October pass found no newer maker signal. 16 Oct pass: no release. 19 Oct pass: no release. DeepSeek shipped DeepSeek-V4.1-Flash-1017 on 17 Oct, an update of Flash, not Pro. 21 Oct pass: no release; DeepSeek’s API updates, read on 21 Oct, end at V4.1-Flash-1017 (17 Oct). 22 Oct pass: no release; DeepSeek’s API updates, read on 22 Oct, still end at the 17 Oct entry (V4.1-Flash-1017 and the search API). 23 Oct pass: no release; DeepSeek’s API updates, read on 23 Oct, still end at the 17 Oct entry (V4.1-Flash-1017), and so does its Hugging Face organisation. 25 Oct pass: no release; DeepSeek’s API updates, read on 25 Oct, still end at the 17 Oct entry, and its Hugging Face organisation at DeepSeek-V4.1-Flash-1017 (17 Oct). 27 Oct pass: no release; DeepSeek’s API updates, read on 27 Oct, still end at the 17 Oct entry, and its Hugging Face organisation at DeepSeek-V4.1-Flash-1017 (17 Oct), with nothing named V4.1-Pro. 28 Oct pass: no release; DeepSeek’s API updates, read on 28 Oct, still end at the 17 Oct entry, and its Hugging Face organisation at DeepSeek-V4.1-Flash-1017 (17 Oct), with nothing named V4.1-Pro. 29 Oct pass: no release; DeepSeek’s API updates, read on 29 Oct, are byte-identical to 28 Oct and still end at the 17 Oct entry, and its Hugging Face organisation still ends at DeepSeek-V4.1-Flash-1017 (17 Oct), with nothing named V4.1-Pro. 29 Oct second pass: no release. IT之家 reported at 08:54 UTC on 28 Oct that a developer had found three DeepSeek-V5 model identifiers, described as new, in DeepSeek’s deepseek-harness repository on GitHub: deepseek-v5, deepseek-v5-open and deepseek-v5-next. They are test strings. At lines 154–156 of packages/llm/llm-deepseek-account/tests/provider.spec.ts (master f3803c9, read on 29 Oct) they are rows of a mock /models listing that reuse the DeepSeek-V4-Pro fixture, in the test ‘hides and refuses listed models this build cannot serve before any inference request’: deepseek-v5-open, whose minimum client version 0.0.1 is met, is listed; the unknown deepseek-v5 is refused with MODEL_UNSUPPORTED; and deepseek-v5-next, whose minimum client version 99.0.0-alpha.1 cannot be met, with CLIENT_UPGRADE_REQUIRED. git log -S dates all three lines to a commit of 24 Sep, not to 27 Oct. They prove neither a V5 model nor a date. DeepSeek has announced nothing named V5: its API updates, read on 29 Oct, still end at the 17 Oct entry, its Hugging Face organisation still ends at DeepSeek-V4.1-Flash-1017 (17 Oct) with nothing named V5, the newest post on its news page is V4.1 Flash (10 Sep), and @deepseek_ai has posted nothing since 20 Oct. 5 Nov pass: no release; DeepSeek’s API updates page, read on 5 Nov, still ends at 17 Oct, and its Hugging Face organisation still ends at DeepSeek-V4.1-Flash-1017, with nothing named V4.1-Pro; @deepseek_ai has posted nothing since. 7 Nov pass: no release; DeepSeek’s API updates page, read on 7 Nov, still ends at 17 Oct (V4.1-Flash-1017), its Hugging Face organisation has nothing newer, and OpenRouter has no V4.1-Pro. 8 Nov pass: no release; DeepSeek’s API updates page, read on 8 Nov, still ends at 17 Oct (V4.1-Flash-1017), its Hugging Face organisation has nothing newer, and OpenRouter has no V4.1-Pro. [x.com ↗](https://x.com/deepseek_ai/status/2097930620680941732) [api-docs.deepseek.com ↗](https://api-docs.deepseek.com/news/news260910) [api-docs.deepseek.com ↗](https://api-docs.deepseek.com/updates/) [x.com ↗](https://x.com/buildwithhassan/status/2103399012728533148) [cellcog.ai ↗](https://cellcog.ai/blog/deepseek-v5-release-date/) [api-docs.deepseek.com ↗](https://api-docs.deepseek.com/updates) [github.com ↗](https://github.com/deepseek-ai/deepseek-harness/blob/f3803c96974ad4a94195fb97e5c637e9c2a3afe3/packages/llm/llm-deepseek-account/tests/provider.spec.ts#L154-L156) [ithome.com ↗](https://www.ithome.com/1/018/980.htm) Named by Xiaomi’s MiMo lead Fuli Luo on 23 Sep, with its architecture; no date [The odds](https://evalmap.ai/releases/#odds-mimo-v3): 10% by 31 Oct · 30% by 30 Nov · 50% by 31 Dec @_LuoFuli 23 Sep: ‘MiMo-V3 is getting a new architecture. The core of it, HySparse2, is out today’, with the HySparse2 paper (arXiv, 22 Sep): 5.02× less prefill compute and a 4.5× smaller KV cache at 1M tokens than MiMo-V2.6’s attention. No release window. 16 Oct pass: no release. 19 Oct pass: no release; Xiaomi’s 21 Oct API change moves V2.5 users to V2.6, not V3. 21 Oct pass: no release; XiaomiMiMo’s newest Hugging Face repositories on 21 Oct are the MiMo-V2.6 MOPD checkpoints (27 Sep). 22 Oct pass: no release; XiaomiMiMo’s newest Hugging Face repositories on 22 Oct are still the MiMo-V2.6 MOPD checkpoints (27 Sep). 23 Oct pass: no release; XiaomiMiMo’s newest Hugging Face repositories on 23 Oct are still the MiMo-V2.6 MOPD checkpoints (27 Sep). 25 Oct pass: no release; XiaomiMiMo’s newest Hugging Face repositories on 25 Oct are still the MiMo-V2.6 MOPD checkpoints (27 Sep), and Xiaomi’s model release page still ends at MiMo-V2.6 (22 Sep). 27 Oct pass: no release; XiaomiMiMo’s newest Hugging Face repositories on 27 Oct are still the MiMo-V2.6 MOPD checkpoints (27 Sep), and Xiaomi’s model release page still ends at MiMo-V2.6 (22 Sep). 28 Oct pass: no release; XiaomiMiMo’s newest Hugging Face repositories on 28 Oct are still the MiMo-V2.6 MOPD checkpoints (27 Sep), whose model cards gained only a use-restrictions notice that day, and Xiaomi’s model release page still ends at MiMo-V2.6 (22 Sep). 29 Oct pass: no release; XiaomiMiMo’s Hugging Face organisation and Xiaomi’s model release page, read on 29 Oct, are unchanged since 28 Oct: the newest repositories are still the MiMo-V2.6 MOPD checkpoints (27 Sep), and the release page still ends at MiMo-V2.6 (22 Sep). 5 Nov pass: no release; XiaomiMiMo’s Hugging Face organisation, read on 5 Nov, still ends at the MiMo-V2.6 MOPD checkpoints (27 Sep), Xiaomi’s model release page still ends at MiMo-V2.6 (22 Sep), and Xiaomi MiMo’s X account and @_LuoFuli name no MiMo-V3. 7 Nov pass: no release; Xiaomi’s MiMo updates page, read on 7 Nov, lists only MiMo-V2.x models, XiaomiMiMo’s Hugging Face organisation has nothing newer than 27 Sep, and no X post names MiMo-V3. 8 Nov pass: no release; XiaomiMiMo’s Hugging Face organisation, read on 8 Nov, has nothing newer than 27 Sep, and OpenRouter has nothing from Xiaomi newer than MiMo-V2.6 (21 Sep). [arxiv.org ↗](https://arxiv.org/abs/2609.26368) [x.com ↗](https://x.com/_LuoFuli/status/2102766365190901957) Announced 5 Oct; API-beta waitlist, homepage says ‘soon’, no release date Banbury Road co-founder @MLCatttt introduced Kardashev-0.7 on 5 Oct at 16:35:32 UTC, claiming 32 distinct models jointly trained with RL for Population Scaling (RLPS). The original post’s content was recovered through the third-party FxTwitter mirror, not read directly on X. Its follow-up offers an API-beta waitlist; the official homepage says the first model civilization is coming ‘soon’, without a date. Public API availability, public weights, licence and parameter count were not established. ‘0.7’ is part of the name, not evidence of 0.7B parameters. This is an announcement, not a verified public release or a prediction for this week. 16 Oct pass: no release. 19 Oct pass: no release; still a waitlist. 21 Oct pass: no release; banburyroad.ai on 21 Oct still offers a waitlist. 22 Oct pass: no release; banburyroad.ai on 22 Oct still offers a waitlist. 23 Oct pass: no release; banburyroad.ai/waitlist on 23 Oct still offers a waitlist (the homepage could not be opened). 25 Oct pass: no release; banburyroad.ai, read on 25 Oct, still offers only a waitlist for its first model, due ‘soon’. 27 Oct pass: no release; banburyroad.ai, read on 27 Oct, still offers only a waitlist for its first model, due ‘soon’. 28 Oct pass: no release; banburyroad.ai, read on 28 Oct, is unchanged and still offers only a waitlist for its first model, due ‘soon’. 29 Oct pass: no release; banburyroad.ai, read on 29 Oct, is byte-identical to its 27 and 28 Oct copies and still offers only a waitlist. 5 Nov pass: no release; banburyroad.ai and its waitlist page, read on 5 Nov, still offer only a waitlist. 7 Nov pass: no release; banburyroad.ai, read on 7 Nov, still offers only a waitlist, with no date. 8 Nov pass: no release; banburyroad.ai, read on 8 Nov, still offers only a waitlist for a first model due ‘soon’, so a report that it shipped is not borne out. [x.com ↗](https://x.com/MLCatttt/status/2107147690450817259) [api.fxtwitter.com ↗](https://api.fxtwitter.com/MLCatttt/status/2107147690450817259) [x.com ↗](https://x.com/MLCatttt/status/2107147691969155260) [api.fxtwitter.com ↗](https://api.fxtwitter.com/status/2107147691969155260) [banburyroad.ai ↗](https://banburyroad.ai/) [banburyroad.ai ↗](https://banburyroad.ai/waitlist) [speedrun.a16z.com ↗](https://speedrun.a16z.com/companies/banbury-road/cat-yan) Announced 28 Oct; a subset of cyber defenders gets it first, through the Fairwind Program, and developers, businesses and consumers ‘as soon as possible’, with no date @steph_palazzolo (The Information) 19 Oct: Google’s Gemini 4 Carbon is expected this month, though it could move to November. Business Insider first named Carbon on 10 Oct. Not Gemini 4 Argon, which is listed. Nothing from Google. 22 Oct pass: no release; nothing new from Google on 22 Oct, and no new signal was found. 23 Oct pass: no release; Google’s Gemini API changelog, read on 23 Oct, still ends at Gemini 4 Argon’s general availability (13 Oct). Testers report early access: @Lentils80 21 Oct: ‘Gemini 4 Carbon EAP has officially started. Early access has been given to partners and it's being tested in LMArena. The release is very close.’ @LuminaBench 21 Oct: ‘Carbon has been in arena since yesterday’. @lyraxana 22 Oct: ‘The Carbon checkpoint on LMArena and Gemini Web/App has been updated.’ TestingCatalog wrote it up on 23 Oct. The 22 Oct pass missed the 21 Oct posts. Nothing from Google, and no day named. 25 Oct pass: no release; Google’s Gemini API changelog, read on 25 Oct, still ends at Gemini 4 Argon’s general availability (13 Oct). Testers still describe only early access, with no day named. 27 Oct pass: no release; Google’s Gemini API changelog, read on 27 Oct, adds only a 26 Oct entry on request storage, a feature, and its newest model is still Gemini 4 Argon (generally available 13 Oct); the Gemini API models page names no Carbon. Testers still describe only Arena and early-access testing, with no day named. 28 Oct pass: announced, not released. Google, ‘Gemini 4 Carbon: our next frontier model’, 28 Oct, 17:00 UTC per the page: ‘Today, we’re announcing the next frontier model: Gemini 4 Carbon … Starting this week, we will make Carbon available to a subset of cyber defenders and will gradually phase access to additional trusted partners through our Fairwind Program. We’re continuing to gather feedback and iterate on guardrails before making Carbon available to developers, businesses, and consumers via our product surfaces as soon as possible.’ It is to launch at Argon’s introductory price, $2 per million input tokens and $10 per million output tokens. @sundarpichai, 17:01 UTC: ‘Some trusted cyber defenders will get access starting this week.’ Google’s Gemini API changelog and models page, read at 21:32 UTC on 28 Oct, do not list Carbon, so public access is not established. 29 Oct pass: no public access yet. Google’s Gemini API changelog and models page, read on 29 Oct, still do not list Carbon, and Google’s 28 Oct post is unchanged. Sundar Pichai’s third-quarter earnings remarks, posted by Google at 21:05 UTC on 28 Oct: ‘We're rolling Carbon out first to a subset of trusted cyber defenders before we expand access, and it's being tested by the U.S. government.’ No date for wider access is given. 5 Nov pass: no wider access yet; Google’s Gemini API changelog, read on 5 Nov, has entries through 5 Nov but none for Carbon, its models page does not list Carbon, and Google’s 28 Oct post still says ‘Coming soon to developers, businesses, and consumers’. 7 Nov pass: no wider access yet; Google’s 28 Oct post, read on 7 Nov, still gives it to a subset of cyber defenders through Fairwind and to others ‘as soon as possible’, and the Gemini API changelog and models page do not mention Carbon. 8 Nov pass: no wider access yet; Google’s 28 Oct post, read on 8 Nov, still gives it to cyber defenders through Fairwind, and the Gemini API changelog, whose newest entry is of 6 Nov, does not mention Carbon. [x.com ↗](https://x.com/steph_palazzolo/status/2112183963452059734) [x.com ↗](https://x.com/Lentils80/status/2112770669549068684) [x.com ↗](https://x.com/LuminaBench/status/2112822997161562600) [x.com ↗](https://x.com/lyraxana/status/2113154534046589304) [x.com ↗](https://x.com/Lentils80/status/2113246123959668854) [testingcatalog.com ↗](https://www.testingcatalog.com/gemini-4-carbon-early-test-results/) [blog.google ↗](https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/) [x.com ↗](https://x.com/sundarpichai/status/2115489219804352921) [blog.google ↗](https://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q3-2026/) Announced 26 Oct as Mirendil’s first model; access ‘Coming soon’, early-access requests only, no release date Mirendil, ‘Introducing Fern’, published 26 Oct at 8:00 am PT (15:00 UTC): ‘Fern is Mirendil’s first model. It is pretrained from scratch and supports a context window of up to 10M tokens. Its first version, Fern 0.1, was finished with a short round of post-training. New versions ship frequently.’ The page lists Fern 0.1 on Mirendil-Base, with 0.1–0.5T parameters and text and code input, built for high-volume agentic tasks, with access ‘Coming soon’ and a ‘Request early access’ link. @mirendil 26 Oct, 16:07 UTC: ‘Fern’s architecture, training, and serving support up to 10M tokens of context. Next-token prediction keeps improving as context grows, all the way to 10M tokens.’ The page names no API, weights, price or release date. 27 Oct pass: read again, the page still gives access as ‘Coming soon’. This is an announcement, not a release. 28 Oct pass: no release; Fern’s page, read on 28 Oct, still gives access as ‘Coming soon’. Mirendil’s ‘Meet Lor’ of 28 Oct lists Fern among the models in Lor, its agent product, which is ‘Currently in private beta, by invite only’, so Fern is still not public. 29 Oct pass: no release; Fern’s page and Mirendil’s ‘Meet Lor’, read on 29 Oct, are byte-identical to 28 Oct: access is still ‘Coming soon’, and Lor, which runs Fern, is ‘Currently in private beta, by invite only’. 5 Nov pass: no release; Fern’s page, read on 5 Nov, still gives access as ‘Coming soon’, and Lor is still ‘Currently in private beta, by invite only’. 7 Nov pass: no release; Fern’s page, read on 7 Nov, still gives access as ‘Coming soon’, with early-access requests only. 8 Nov pass: no release; Fern’s page, read on 8 Nov, still gives access as ‘Coming soon’, with early-access requests only. [mirendil.com ↗](https://mirendil.com/news/introducing-fern/) [x.com ↗](https://x.com/mirendil/status/2114750802342694970) [mirendil.com ↗](https://mirendil.com/news/meet-lor/) Announced 27 Oct as a research preview for trusted testers; Google AI Ultra subscribers in Project Genie and early-access partners of the Gemini API come next, ‘soon’, with no date Google DeepMind, ‘Genie 4: A new generation of world simulation’, 27 Oct, 16:13 UTC per the page: ‘Today, we are announcing Genie 4, our new world model, which unlocks unprecedented realism and improves real-time interactive simulation.’ It adds native audio and lets users steer the scene with text prompts as it runs. ‘We have started rolling Genie 4 out as a research preview for trusted testers — gathering feedback before we release it to consumers and developers, starting with Google AI Ultra subscribers in Project Genie and early access partners of the Gemini API and Google AI Studio.’ The page offers a waitlist; @GoogleDeepMind posted the announcement at 16:10 UTC. @demishassabis 28 Oct, 00:02 UTC: ‘We’ve started rolling it out to trusted testers, with wider access coming soon.’ No date, price or public access is given. 28 Oct pass: on 28 Oct the page still offers only the waitlist; this is an announcement, not a release. 29 Oct pass: no wider access yet; DeepMind’s Genie 4 post and its Genie model page, read on 29 Oct, still offer only a waitlist, and Sundar Pichai’s 28 Oct earnings remarks name Genie 4 without a date. 5 Nov pass: no wider access yet; DeepMind’s Genie 4 post and Genie model page, read on 5 Nov, still offer only the waitlist, and the Gemini API changelog has no Genie entry. 7 Nov pass: no wider access yet; DeepMind’s Genie 4 post and Genie model page, read on 7 Nov, still offer only the waitlist, and the Gemini API changelog has no Genie entry. 8 Nov pass: no wider access yet; DeepMind’s Genie model page, read on 8 Nov, still calls Genie 4 a research preview for trusted testers, with a waitlist. [deepmind.google ↗](https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/) [x.com ↗](https://x.com/GoogleDeepMind/status/2115114028338962672) [x.com ↗](https://x.com/demishassabis/status/2115232581230760260) [deepmind.google ↗](https://deepmind.google/models/genie/) [blog.google ↗](https://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q3-2026/) Announced by Tencent on 4 Nov (‘in the coming days’), no day named Tencent’s post of 4 Nov launching Hy4 (listed here on 4 Nov, API only): ‘Tencent Hy plans to release model weights and system cards in the coming days, reinforcing its commitment to responsible open-source AI development, with a focus on cybersecurity and biological safety.’ @YonglongT, retweeted by @TencentHunyuan on 4 Nov: ‘We are taking a cautious approach to release the weights.’ On 5 Nov at 11:32 UTC tencent/Hy4 and tencent/Hy4-FP8 on Hugging Face returned 401, a search found only tencent/Hy4-preview, and ModelScope had nothing. 7 Nov pass: no weights yet; on 7 Nov tencent/Hy4 and tencent/Hy4-FP8 on Hugging Face still returned 401, a search of Tencent’s organisation found only tencent/Hy4-preview (27 Aug), and the Tencent-Hunyuan GitHub repositories created on 5 Nov (FlashTopK, AppCIF-Bench) are not Hy4 weights. 8 Nov pass: no weights yet; at 11:25 UTC on 8 Nov tencent/Hy4 and tencent/Hy4-FP8 on Hugging Face still returned 401, the newest repository in Tencent’s organisation is a speculative-decoding drafter (7 Nov), and Tencent’s post still promises weights and system cards ‘in the coming days’. Likelihood raised from medium to high and moved to later: Tencent has announced the weights, without a day (‘in the coming days’, 4 Nov). 9 Nov pass: no weights yet; Tencent’s Hugging Face organisation, read at 09:50 UTC on 9 Nov, lists only Hy4-preview under Hy4, and Tencent’s post (last modified 6 Nov) still promises weights and system cards ‘in the coming days’. [tencent.com ↗](https://www.tencent.com/tencent-launches-hy4-joining-the-ranks-of-the-worlds-leading-open-source-ai-models/) [x.com ↗](https://x.com/TencentHunyuan/status/2117870250838630539) [x.com ↗](https://x.com/YonglongT/status/2117881921061757221) Announced by Tencent on 4 Nov with Hy4, with no date Tencent’s post of 4 Nov launching Hy4: ‘Hy4 Flash is scheduled for release soon and will deliver greater cost-efficiency for users who prioritize high-value applications.’ No model ID, price or date. 7 Nov pass: no release; Tencent’s Hy4 post, read on 7 Nov, still says ‘Hy4 Flash is scheduled for release soon’, and OpenRouter lists only tencent/hy4 and tencent/hy4-preview. 8 Nov pass: no release; Tencent’s Hy4 post, read on 8 Nov, carries the heading ‘Delivering Greater Cost Performance, Hy4 Flash Recently Released’, but its text still says ‘Hy4 Flash is scheduled for release soon’, and OpenRouter lists only tencent/hy4 and tencent/hy4-preview. 9 Nov pass: no release; Tencent’s post still says ‘Hy4 Flash is scheduled for release soon’, and OpenRouter, read on 9 Nov, lists only tencent/hy4 and tencent/hy4-preview. [tencent.com ↗](https://www.tencent.com/tencent-launches-hy4-joining-the-ranks-of-the-worlds-leading-open-source-ai-models/) 9–15 Nov, no day named Thinking Machines, 5 Nov: ‘We intend to make the full weights available under an Apache 2.0 license next week after the completion of external safety testing and red-teaming.’ The Inkling family page (modified 7 Nov 01:05 UTC) words it more loosely: ‘We intend to release the full weights in the coming weeks, pending the results of additional safety testing.’ thinkingmachines/Inkling-2-Small on Hugging Face was not public at 09:45 UTC on 7 Nov. 8 Nov pass: no weights yet; thinkingmachines/Inkling-2-Small on Hugging Face still returned 401 at 11:25 UTC on 8 Nov, and Thinking Machines’ post, read on 8 Nov, still plans them for ‘next week’. 9 Nov pass: no weights yet; Thinking Machines’ Hugging Face organisation, read at 09:49 UTC on 9 Nov, has nothing newer than Inkling-Small (27 Jul), and its post still says ‘next week’. inkling2small.com, which expects the weights around 12 Nov, is an unofficial site registered on 6 Nov and is not Thinking Machines’. [thinkingmachines.ai ↗](https://thinkingmachines.ai/news/inkling-2-small/) [thinkingmachines.ai ↗](https://thinkingmachines.ai/inkling/) no day named; Baidu World is on 12 Nov @Baidu_ERNIE, 5 Nov 14:01 UTC: ‘The post-trained ERNIE 5.5 Flash is coming soon.’ @BaiduResearch, 07:49 UTC: ‘the full ERNIE 5.5 Flash is on its way’. Baidu World 2026 is on 12 Nov in Beijing; ERNIE 5.0 shipped at Baidu World 2025 (13 Nov). 8 Nov pass: no release; baidu/ERNIE-5.5-Flash on Hugging Face returned 401 at 11:25 UTC on 8 Nov, ERNIE’s blog, read on 8 Nov, ends at the Flash Base post of 5 Nov, and OpenRouter has no Baidu model. Likelihood raised from medium to high: Baidu has announced the model, without a day. 9 Nov pass: no release; Baidu’s ERNIE Evolve post of 9 Nov still calls it ‘the in-development ERNIE-5.5-Flash’ (‘正在开发中’), and Baidu’s Hugging Face organisation, read at 09:50 UTC on 9 Nov, has only the two Flash Base repositories. [x.com ↗](https://x.com/Baidu_ERNIE/status/2118342822516437115) [x.com ↗](https://x.com/BaiduResearch/status/2118249227939967424) [xinhuanet.com ↗](http://www.xinhuanet.com/info/20261013/49036669d777466eb38281067aee2da5/c.html) - 12 Nov[OpenAI ‘Cyber at the Frontier’ livestream ↗](https://x.com/OpenAI/status/2118390195099930906)10:00 PT; OpenAI promises more cyber announcements and names no model. - 12 Nov[Baidu World 2026, Beijing ↗](http://www.xinhuanet.com/info/20261013/49036669d777466eb38281067aee2da5/c.html)Baidu calls the post-trained ERNIE 5.5 Flash ‘coming soon’; ERNIE 5.0 shipped at Baidu World 2025, on 13 Nov. ## The record A forecast nobody keeps is not a forecast. Every weekly reading this page has published is sealed on the day it was made and scored once its week has ended: which named models shipped inside the week, and how many shipped that were never named here at all. A closed week is never rewritten — a correction is a new line, not an edit to an old one. [Every change to this site](https://evalmap.ai/changelog/) is listed too. The odds: 309 daily numbers have met their date. Their Brier score is 0.156 (0 is perfect; 0.25 is what always saying 50% earns). On the 160 where a market priced the same date, EvalMap scored 0.167 and the markets 0.207. The week of 5–11 November is still open. Its forecast was sealed on 5 Nov and last checked against its sources on 9 Nov: 2 models named for the week, 14 further out. It is scored here once the week is over. ### Week of 29–4 November 3 of 5 named for the week shipped in it. 9 models shipped that week in all, 6 of them never named here. - Anthropic The model after Fable 5.1 (called Fable 5.2 by testers)day not nameddid not ship in the week - OpenAI A new OpenAI model (none named)‘very soon’, none nameddid not ship in the week - Mistral AI Mistral Large 4 open weights29 Oct, named by Mistral (ETA)shipped — Mistral AI Mistral Large 4 (2026-10-29) - Moonshot AI Kimi K3.1 Pro open weightsweights by 4 Nov, no day namedshipped — Moonshot AI Kimi K3.1 Pro open weights (2026-11-04) - OpenAI GPT Image 2.6day not namedshipped — OpenAI ChatGPT Images 2.6; GPT-Image-2.6 Flare and GPT-Image-2.6 Sunburst (2026-11-04) Shipped without being named (6) - Cognition SWE-2 Flash (2026-11-04) - Tencent Hunyuan Hy4 (2026-11-04) - Ricursive Intelligence Ripple-65B Preview (2026-11-04) - Soniox Soniox STT v6 (2026-11-03) - Undisclosed (stealth) Crouton Alpha (2026-11-03) - Meituan LongCat-2.5 (2026-11-02) ### Week of 22–28 October 2 of 5 named for the week shipped in it. 24 models shipped that week in all, 19 of them never named here; Nemotron 3.5 Bolt E4B, placed further out, shipped in it (NVIDIA Nemotron 3.5 Bolt E4B (2026-10-23)); GPT-6.1 Terra, placed further out, shipped in it (OpenAI GPT-6.1 Terra (2026-10-26)); Ling-3.1-flash-1019, placed further out, shipped in it (inclusionAI (Ant Group) Ling-3.1-flash-1019 open weights (2026-10-27)). - Anthropic The model after Fable 5.1 (called Fable 5.2 by testers)day not nameddid not ship in the week - Moonshot AI Kimi K3.1released 23 Octshipped — Moonshot AI Kimi K3.1 Pro (2026-10-23) - OpenAI A new OpenAI model (none named)‘very soon’, none nameddid not ship in the week - Google DeepMind Gemini 4 Carbonannounced 28 Oct; cyber defenders first, no public datedid not ship in the week - MiniMax MiniMax M3.1 Flash open weightsreleased 23 Octshipped — MiniMax MiniMax-M3.1-Flash open weights (2026-10-23) Shipped without being named (19) - Rime Prism (2026-10-28) - Particle AI Particle-1 (2026-10-28) - AssemblyAI AssemblyAI-TTS-1 (2026-10-28) - NVIDIA Nemotron 3.5 Transcribe (2026-10-28) - DiffuSpace Clover-35B-A3B-Preview (2026-10-28) - Liquid AI LFM3-1.7B and LFM3-VL-2B (2026-10-27) - Liquid AI LFM3-Audio-2B and LFM3-Omni-2B (2026-10-27) - Microsoft AI MAI-Image-2.7-Preview (2026-10-27) - Alibaba Qwen Qwen-Audio-3.1-Realtime-Flash (2026-10-27) - Maya Research Maya 2 Native (2026-10-27) - Tencent Hunyuan Hy-SimulMT (2026-10-26) - Nanbeige LLM Lab (BOSS Zhipin) Nanbeige4.3-33B (2026-10-25) - Tencent Hunyuan Hy-Nomas (2026-10-23) - Rime Coda v2 (2026-10-23) - Shanghai AI Laboratory Atria Dawn open weights (2026-10-23) - Canva Canva Craft (2026-10-22) - Ideogram Ideogram Vector (2026-10-22) - inclusionAI (Ant Group) Ling-3.0-flash-Sante (2026-10-22) - iFlytek Spark-X2.6 (2026-10-22) ### Week of 15–21 October 1 of 4 named for the week shipped in it. 15 models shipped that week in all, 14 of them never named here. - Anthropic The model after Fable 5.1 (called Fable 5.2 by testers)day not nameddid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - OpenAI A new OpenAI model (none named)‘very soon’, none nameddid not ship in the week - FastVideo (Hao AI Lab) FastH3-Omni open weights20 Oct, named by FastVideoshipped — FastVideo (Hao AI Lab) FastH3-Omni open weights (2026-10-20) Shipped without being named (14) - Recursive Flint (2026-10-21) - Mistral AI Voxtral 3: Voxtral Small Transcribe 3 and Voxtral Mini Transcribe 3 (2026-10-20) - DeepSeek DeepSeek-V4.1-Flash-1017 (2026-10-17) - Reflection AI Beam 1.0 (2026-10-16) - Tencent Hunyuan Hy-Memory-30B-A3B (2026-10-16) - NVIDIA Nemotron Labs Dory 1.0 4B (2026-10-16) - Meta Muse Spark Open (2026-10-15) - OpenAI GPT-Live-1.1 and GPT-Live-1.1 Quip (2026-10-15) - Kuaishou Kling 4.0 (2026-10-15) - Krea Krea 3 (2026-10-15) - NVIDIA Nemotron 3.5 Super VL 120B-A12B (2026-10-15) - NVIDIA Nemotron 3.5 Bolt 74B (2026-10-15) - StepFun Step 5 Preview open weights (2026-10-15) - Black Forest Labs FLUX 3 Image Klein (2026-10-15) ### Week of 8–14 October 1 of 4 named for the week shipped in it. 7 models shipped that week in all, 3 of them never named here; Gemini 4 Argon, placed further out, shipped in it (Google DeepMind Gemini 4 Argon (2026-10-13)); Watermelon, placed further out, shipped in it (Meta Muse Wonder and Muse Wonder Full (Watermelon) (2026-10-12)); Ling-3.1-flash open weights, placed further out, shipped in it (Ant Group / inclusionAI Ling-3.1-flash open weights (2026-10-13)). - Meta Muse Spark open weightsno datedid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - OpenAI A new OpenAI model (none named)‘very soon’, none nameddid not ship in the week - OpenBMB MiniCPM-V 4.7 (1B and 35B-A3B)released 12 Octshipped — OpenBMB MiniCPM-V 4.7 (1B and 35B-A3B) (2026-10-12) Shipped without being named (3) - Liquid AI LFM2.5-24B-A2B (2026-10-13) - Sarvam AI Bulbul V4 Flash (2026-10-13) - xAI Grok Voice 3.0 (2026-10-14) ### Week of 4–10 October 0 of 4 named for the week shipped in it. 4 models shipped that week in all, 3 of them never named here; Claude Haiku 5.5, placed further out, shipped in it (Anthropic Claude Haiku 5.5 (2026-10-07)). - Meta Muse Spark open weightsno datedid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - OpenAI A new OpenAI model (none named)‘very soon’, none nameddid not ship in the week - OpenBMB MiniCPM-V 4.7 (1B and 35B-A3B)day not nameddid not ship in the week Shipped without being named (3) - OpenAI GPT-6 Sol and GPT-6 Luna (October, ChatGPT) (2026-10-07) - Google Gemini Nano Banana 2.1 (2026-10-06) - Mistral AI Mistral Large 4 Preview (2026-10-06) ### Week of 1–7 October 0 of 4 named for the week shipped in it. 9 models shipped that week in all, 8 of them never named here; Claude Haiku 5.5, placed further out, shipped in it (Anthropic Claude Haiku 5.5 (2026-10-07)). - Meta Muse Spark open weightsno datedid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - OpenAI A new OpenAI model (none named)‘very soon’, none nameddid not ship in the week - OpenBMB MiniCPM-V 4.7 (1B and 35B-A3B)day not nameddid not ship in the week Shipped without being named (8) - OpenAI GPT-6 Sol and GPT-6 Luna (October, ChatGPT) (2026-10-07) - Google Gemini Nano Banana 2.1 (2026-10-06) - Mistral AI Mistral Large 4 Preview (2026-10-06) - Aleph Alpha Kolibri-1 (2026-10-03) - Microsoft AI MAI-Transcribe-2-Streaming (2026-10-01) - Microsoft AI MAI-Voice-2.1 and MAI-Voice-2.1-Flash (2026-10-01) - Unbiased Pareto 26.10 Preview (2026-10-01) - Black Forest Labs FLUX 3 Image (2026-10-01) ### Week of 29–5 October 0 of 2 named for the week shipped in it. 8 models shipped that week in all, 8 of them never named here. - Meta Muse Spark open weightsno datedid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week Shipped without being named (8) - Aleph Alpha Kolibri-1 (2026-10-03) - Microsoft AI MAI-Transcribe-2-Streaming (2026-10-01) - Microsoft AI MAI-Voice-2.1 and MAI-Voice-2.1-Flash (2026-10-01) - Unbiased Pareto 26.10 Preview (2026-10-01) - Black Forest Labs FLUX 3 Image (2026-10-01) - HeyGen HeyGen Video 1 (2026-09-30) - Ideogram Ideogram 4.5 (2026-09-30) - OpenAI GPT-6.1 Sol (2026-09-29) ### Week of 28–4 October 1 of 4 named for the week shipped in it. 11 models shipped that week in all, 9 of them never named here; Claude Sonnet 5.5 and Claude Haiku 5.5, placed further out, shipped in it (Anthropic Claude Sonnet 5.5 (2026-09-28)). - Google DeepMind Another Google language model this week (Gemini 4 or other)no signaldid not ship in the week - Meta Muse Spark open weightsno datedid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - OpenAI A new OpenAI model at DevDayDevDay, 29 Sepshipped — OpenAI GPT-6.1 Sol (2026-09-29) Shipped without being named (9) - Aleph Alpha Kolibri-1 (2026-10-03) - Microsoft AI MAI-Transcribe-2-Streaming (2026-10-01) - Microsoft AI MAI-Voice-2.1 and MAI-Voice-2.1-Flash (2026-10-01) - Unbiased Pareto 26.10 Preview (2026-10-01) - Black Forest Labs FLUX 3 Image (2026-10-01) - HeyGen HeyGen Video 1 (2026-09-30) - Ideogram Ideogram 4.5 (2026-09-30) - Kuaishou Kling 4.0 Flash (2026-09-28) - ElevenLabs Eleven v4 and Eleven v4 Turbo (2026-09-28) ### Week of 27–3 October 1 of 4 named for the week shipped in it. 14 models shipped that week in all, 12 of them never named here; Claude Sonnet 5.5 and Claude Haiku 5.5, placed further out, shipped in it (Anthropic Claude Sonnet 5.5 (2026-09-28)). - Google DeepMind Another Google language model this week (Gemini 4 or other)no signaldid not ship in the week - Meta Muse Spark open weightsno datedid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - OpenAI A new OpenAI model at DevDayDevDay, 29 Sepshipped — OpenAI GPT-6.1 Sol (2026-09-29) Shipped without being named (12) - Aleph Alpha Kolibri-1 (2026-10-03) - Microsoft AI MAI-Transcribe-2-Streaming (2026-10-01) - Microsoft AI MAI-Voice-2.1 and MAI-Voice-2.1-Flash (2026-10-01) - Unbiased Pareto 26.10 Preview (2026-10-01) - Black Forest Labs FLUX 3 Image (2026-10-01) - HeyGen HeyGen Video 1 (2026-09-30) - Ideogram Ideogram 4.5 (2026-09-30) - Kuaishou Kling 4.0 Flash (2026-09-28) - ElevenLabs Eleven v4 and Eleven v4 Turbo (2026-09-28) - NaiveAI Naive-N0.5-Flash (2026-09-27) - Xiaomi MiMo-V2.6-Pro-MOPD and MiMo-V2.6-Flash-MOPD (2026-09-27) - MiniMax MiniMax-M3.1-Flash-Preview (2026-09-27) ### Week of 26–2 October 2 of 5 named for the week shipped in it. 13 models shipped that week in all, 10 of them never named here; Claude Sonnet 5.5 and Claude Haiku 5.5, placed further out, shipped in it (Anthropic Claude Sonnet 5.5 (2026-09-28)). - Google DeepMind Another Google language model this week (Gemini 4 or other)no signaldid not ship in the week - Meta Muse Spark open weightsno datedid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - MiniMax Next MiniMax modelno dateshipped — MiniMax MiniMax-M3.1-Flash-Preview (2026-09-27) - OpenAI A new OpenAI model at DevDayDevDay, 29 Sepshipped — OpenAI GPT-6.1 Sol (2026-09-29) Shipped without being named (10) - Microsoft AI MAI-Transcribe-2-Streaming (2026-10-01) - Microsoft AI MAI-Voice-2.1 and MAI-Voice-2.1-Flash (2026-10-01) - Unbiased Pareto 26.10 Preview (2026-10-01) - Black Forest Labs FLUX 3 Image (2026-10-01) - HeyGen HeyGen Video 1 (2026-09-30) - Ideogram Ideogram 4.5 (2026-09-30) - Kuaishou Kling 4.0 Flash (2026-09-28) - ElevenLabs Eleven v4 and Eleven v4 Turbo (2026-09-28) - NaiveAI Naive-N0.5-Flash (2026-09-27) - Xiaomi MiMo-V2.6-Pro-MOPD and MiMo-V2.6-Flash-MOPD (2026-09-27) ### Week of 25–1 October 2 of 5 named for the week shipped in it. 16 models shipped that week in all, 13 of them never named here; Claude Sonnet 5.5 and Claude Haiku 5.5, placed further out, shipped in it (Anthropic Claude Sonnet 5.5 (2026-09-28)). - Google DeepMind Another Google language model this week (Gemini 4 or other)no signaldid not ship in the week - Meta Muse Spark open weightsno datedid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - MiniMax Next MiniMax modelno dateshipped — MiniMax MiniMax-M3.1-Flash-Preview (2026-09-27) - OpenAI A new OpenAI model at DevDayDevDay, 29 Sepshipped — OpenAI GPT-6.1 Sol (2026-09-29) Shipped without being named (13) - Microsoft AI MAI-Transcribe-2-Streaming (2026-10-01) - Microsoft AI MAI-Voice-2.1 and MAI-Voice-2.1-Flash (2026-10-01) - Unbiased Pareto 26.10 Preview (2026-10-01) - Black Forest Labs FLUX 3 Image (2026-10-01) - HeyGen HeyGen Video 1 (2026-09-30) - Ideogram Ideogram 4.5 (2026-09-30) - Kuaishou Kling 4.0 Flash (2026-09-28) - ElevenLabs Eleven v4 and Eleven v4 Turbo (2026-09-28) - NaiveAI Naive-N0.5-Flash (2026-09-27) - Xiaomi MiMo-V2.6-Pro-MOPD and MiMo-V2.6-Flash-MOPD (2026-09-27) - Undisclosed (stealth) Pixel Canary (2026-09-25) - Meituan LongCat-2.5-Preview (2026-09-25) - Perceptron Perceptron Mk1.5 (2026-09-25) ### Week of 23–29 September 2 of 5 named for the week shipped in it. 16 models shipped that week in all, 13 of them never named here; Claude Sonnet 5.5 and Claude Haiku 5.5, placed further out, shipped in it (Anthropic Claude Sonnet 5.5 (2026-09-28)). - Google DeepMind Another Google model this week (Gemini 4 Pro or other)no signaldid not ship in the week - Meta Muse Spark open weights or larger models at Meta ConnectConnect, 23–24 Sepdid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - MiniMax Next MiniMax modelno dateshipped — MiniMax MiniMax-M3.1-Flash-Preview (2026-09-27) - OpenAI A new OpenAI model at DevDayDevDay, 29 Sepshipped — OpenAI GPT-6.1 Sol (2026-09-29) Shipped without being named (13) - Kuaishou Kling 4.0 Flash (2026-09-28) - ElevenLabs Eleven v4 and Eleven v4 Turbo (2026-09-28) - NaiveAI Naive-N0.5-Flash (2026-09-27) - Xiaomi MiMo-V2.6-Pro-MOPD and MiMo-V2.6-Flash-MOPD (2026-09-27) - Undisclosed (stealth) Pixel Canary (2026-09-25) - Meituan LongCat-2.5-Preview (2026-09-25) - Perceptron Perceptron Mk1.5 (2026-09-25) - Undisclosed (stealth) Space Bunny Alpha (2026-09-23) - Alibaba Qwen Qwen3.8-Max-Prime (2026-09-23) - Alibaba Cloud GLM-5.3-Prime (2026-09-23) - Fireworks Ember-1 (2026-09-23) - AionLabs Aion 3.5 and Aion 3.5 Mini (2026-09-23) - NVIDIA Nemotron 3 Diarization (2026-09-23) ### Week of 22–28 September 1 of 4 named for the week shipped in it. 21 models shipped that week in all, 18 of them never named here; Qwen-Audio-3.1-TTS-Next, placed further out, shipped in it (Alibaba Qwen Qwen-Audio-3.1-TTS-Next, Qwen-Audio-3.1-TTS-Flash and Qwen-Audio-3.1-ASR-Flash (2026-09-22)). - Google DeepMind Another Google model this week (Gemini 4 Pro or other)no signaldid not ship in the week - Meta Muse Spark open weights or larger models at Meta ConnectConnect, 23–24 Sepdid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - MiniMax Next MiniMax modelno dateshipped — MiniMax MiniMax-M3.1-Flash-Preview (2026-09-27) Shipped without being named (18) - Kuaishou Kling 4.0 Flash (2026-09-28) - ElevenLabs Eleven v4 and Eleven v4 Turbo (2026-09-28) - Anthropic Claude Sonnet 5.5 (2026-09-28) - NaiveAI Naive-N0.5-Flash (2026-09-27) - Xiaomi MiMo-V2.6-Pro-MOPD and MiMo-V2.6-Flash-MOPD (2026-09-27) - Undisclosed (stealth) Pixel Canary (2026-09-25) - Meituan LongCat-2.5-Preview (2026-09-25) - Perceptron Perceptron Mk1.5 (2026-09-25) - Undisclosed (stealth) Space Bunny Alpha (2026-09-23) - Alibaba Cloud GLM-5.3-Prime (2026-09-23) - Fireworks Ember-1 (2026-09-23) - AionLabs Aion 3.5 and Aion 3.5 Mini (2026-09-23) - NVIDIA Nemotron 3 Diarization (2026-09-23) - Tencent Hy Image 3.5 Preview (2026-09-22) - Upstage Solar Mini 4 (2026-09-22) - Anthropic Claude Opus 5.5 (2026-09-22) - OpenAI GPT-6 Sol and GPT-6 Luna (2026-09-22) - Google Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS (2026-09-22) ### Week of 21–27 September 4 of 7 named for the week shipped in it. 20 models shipped that week in all, 16 of them never named here; Qwen-Audio-3.1-TTS-Next, placed further out, shipped in it (Alibaba Qwen Qwen-Audio-3.1-TTS-Next, Qwen-Audio-3.1-TTS-Flash and Qwen-Audio-3.1-ASR-Flash (2026-09-22)). - OpenAI Unnamed main launch of the week (community expects GPT-6 Sol)Tuesday 22 Sepshipped — OpenAI GPT-6 Sol and GPT-6 Luna (2026-09-22) - OpenAI GPT-6 Solif that launch is itshipped — OpenAI GPT-6 Sol and GPT-6 Luna (2026-09-22) - Anthropic Claude Opus 5.2 or Opus 5.5 (name unconfirmed)rumoured for Tue 22 Sepshipped — Anthropic Claude Opus 5.5 (2026-09-22) - Google DeepMind Another Google model this week (Gemini 4 Pro or other)no signaldid not ship in the week - Meta Muse Spark open weights or larger models at Meta ConnectConnect, 23–24 Sepdid not ship in the week - Moonshot AI Kimi K3.1day not nameddid not ship in the week - MiniMax Next MiniMax modelno dateshipped — MiniMax MiniMax-M3.1-Flash-Preview (2026-09-27) Shipped without being named (16) - Xiaomi MiMo-V2.6-Pro-MOPD and MiMo-V2.6-Flash-MOPD (2026-09-27) - Undisclosed (stealth) Pixel Canary (2026-09-25) - Meituan LongCat-2.5-Preview (2026-09-25) - Perceptron Perceptron Mk1.5 (2026-09-25) - Undisclosed (stealth) Space Bunny Alpha (2026-09-23) - Alibaba Qwen Qwen3.8-Max-Prime (2026-09-23) - Alibaba Cloud GLM-5.3-Prime (2026-09-23) - Fireworks Ember-1 (2026-09-23) - AionLabs Aion 3.5 and Aion 3.5 Mini (2026-09-23) - NVIDIA Nemotron 3 Diarization (2026-09-23) - Tencent Hy Image 3.5 Preview (2026-09-22) - Upstage Solar Mini 4 (2026-09-22) - Google Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS (2026-09-22) - Yandex AliceAI-Foundation-80B-A3B-Base (2026-09-21) - SpaceXAI Grok 4.7 (2026-09-21) - Xiaomi MiMo-V2.6-Pro and MiMo-V2.6-Flash (2026-09-21) ## Released since 21 Aug Newest first. The date is the day the maker announced the model or made it available (UTC). “Open weights” means the weights were published that day; weights published later get a row of their own. - 2–8 Nov 2026 - 8Nov Frantic Ferret Undisclosed (stealth) Free stealth model on OpenCode (frantic-ferret-free), withdrawn the same evening · Maker not disclosed: OpenCode’s docs called Frantic Ferret Free ‘a stealth model that's free on OpenCode for a limited time’, closed to the European Union, China and other countries. OpenCode listed it at 18:51 UTC on 8 Nov with a 1M context, 270K output, text, image, video and PDF input and effort from minimal to max; a user had it at 19:00 UTC. OpenCode took it out of models.dev at 20:59 UTC and out of its docs at 21:02 UTC; its data page counts 347 users that day. Testers guess Meta from the listing and the region lock; no one has said. [github.com ↗](https://github.com/anomalyco/opencode/pull/62770) [github.com ↗](https://github.com/anomalyco/models.dev/pull/13094) [github.com ↗](https://github.com/anomalyco/opencode/pull/62780) [opencode.ai ↗](https://opencode.ai/data/unknown/frantic-ferret) [x.com ↗](https://x.com/hakmgpt/status/2119505407194386668) - 7Nov Qoduck Undisclosed (stealth)[jeep build by Qoduck (Qwen4 Flash/Plus/Max?) (xhigh), made 7 Nov](https://evalmap.ai/jeep/#qoduck-xhigh) Qoder model picker for individual users, with a daily free allowance for a limited time · Maker not disclosed: Qoder’s page calls it ‘a stealth model whose identity has yet to be disclosed’ and gives individual users a daily free allowance ‘Starting November 7, 2026’ (Singapore time), at a Credit rate of 0.5× beyond it; Teams and Enterprise plans do not see it. @qoder_ai_ide, 7 Nov 02:11:24 UTC: ‘A stealth model just landed on Qoder. Meet Qoduck. Don't ask where it came from.’ A user had it in the model picker at 00:47 UTC (@t20000622yy), and @alibaba_cloud reposted the launch at 09:00 UTC without naming the maker. Testers say its tokenizer matches Qwen’s (@aitrackerbot, 02:38 UTC); Alibaba has not said, and a tokenizer match has misled before. The 7 Nov pass missed it. [docs.qoder.com ↗](https://docs.qoder.com/events/qoduck-free) [x.com ↗](https://x.com/qoder_ai_ide/status/2118889023339208755) [x.com ↗](https://x.com/t20000622yy/status/2118867812269904254) [x.com ↗](https://x.com/alibaba_cloud/status/2118992047613080032) [x.com ↗](https://x.com/aitrackerbot/status/2118895798943445398) - 5Nov Inkling 2 Small Thinking Machines Lab Tinker (Playground, fine-tuning and sampling); weights not yet released · Mixture-of-experts, 594B total / 17B active, image input and variable effort, per Thinking Machines’ post of 5 Nov (no time given): ‘We intend to make the full weights available under an Apache 2.0 license next week after the completion of external safety testing and red-teaming.’ @thinkymachines, 5 Nov 23:43:57 UTC: ‘Introducing Inkling 2 Small … available for fine-tuning and inference on Tinker today, with full weight release planned soon.’ @arena, 5 Nov 23:55 UTC: in Code Arena WebDev at 1654. [thinkingmachines.ai ↗](https://thinkingmachines.ai/news/inkling-2-small/) [x.com ↗](https://x.com/thinkymachines/status/2118489527362912566) [x.com ↗](https://x.com/arena/status/2118492327887155680) - 5Nov Ling-3.2-flash inclusionAI (Ant Group) Ant Ling chat and API (developer.ant-ling.com); no open weights · Native multimodal (image, text, video in) mixture-of-experts, 560B total / 25B active, 1M context. @AntLingAGI, 5 Nov 19:40 UTC: ‘Introducing Ling-3.2-flash, Ant Ling's native multimodal model: 560B total / 25B active parameters’. Ant Ling changelog, v2.0.6 of 5 Nov: ‘Launched the native multimodal model Ling-3.2-flash’; also a new block on the Ling models page that was not in its 5 Nov 11:31 UTC copy. No Hugging Face repository (inclusionAI search empty, 7 Nov). [x.com ↗](https://x.com/AntLingAGI/status/2118428246664761379) [developer.ant-ling.com ↗](https://developer.ant-ling.com/en/docs/getting-started/changelog/) [developer.ant-ling.com ↗](https://developer.ant-ling.com/en/docs/models/ling) - 5Nov Muse Realtime Avatar Metavideo Muse app (mobile, web, Mac), in the US to start · Real-time embodiment model that turns Muse Realtime Voice into expressive avatars; previewed at Connect on 23 Sep. Meta, 5 Nov 18:30:58 UTC (published_time): ‘We’re rolling out voice and expressive avatars in the Muse app’. @AIatMeta, 18:36 UTC: ‘Today, we’re rolling it out in the @Muse app in the US’. No API. [about.fb.com ↗](https://about.fb.com/news/2026/11/introducing-muse-ai-voice-expressive-avatars/) [x.com ↗](https://x.com/AIatMeta/status/2118412135340572850) [research.meta.ai ↗](https://research.meta.ai/blog/bringing-your-muse-to-life) - 5Nov Muse Realtime Voice Metaspeech Muse app (mobile, web, Mac), in the US to start · Real-time spoken conversation with a Muse, named at Connect on 23 Sep as the layer that gives Muse Realtime Avatar its voice; rolled out together with it. Meta, 5 Nov 18:30:58 UTC: ‘At Connect 2026, we previewed real-time conversations with your Muse. Now we’re rolling it out in the Muse app’. @finkd (Mark Zuckerberg), 18:30:24 UTC, 34 s before Meta’s post: ‘Now in the Muse app: talk with your Muse in real time. And pick from multiple voices’. [about.fb.com ↗](https://about.fb.com/news/2026/11/introducing-muse-ai-voice-expressive-avatars/) [x.com ↗](https://x.com/AIatMeta/status/2118412135340572850) [x.com ↗](https://x.com/finkd/status/2118410617698517088) - 5Nov Gemini Omni 1.2 Flash Google DeepMindvideo Generally available in the Gemini API (gemini-omni-1.2-flash, AI Studio), Google Cloud, the Gemini app, Flow and Google Vids · Video generation and editing: clips and edits up to 15 s, better scene consistency and character speech, fewer jump cuts; 30% cheaper than Omni 1.1, $0.07 per second at 720p, per Google’s blog (17:00 UTC on 5 Nov). Gemini API changelog, 5 Nov: Gemini Omni 1.2 Flash generally available. @GoogleAI, 5 Nov 17:08 UTC: ‘Meet Gemini Omni 1.2 Flash’. On OpenRouter from 17:16 UTC. [blog.google ↗](https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemini-omni-1-2-flash/) [ai.google.dev ↗](https://ai.google.dev/gemini-api/docs/changelog) [x.com ↗](https://x.com/GoogleAI/status/2118389961426874879) - 5Nov ERNIE-5.5-Flash-Base Baiduopen weights Open weights on Hugging Face (baidu/ERNIE-5.5-Flash-Base, ERNIE 5.5 Flash Base Model License v1.0); base model only · Pretrained base of ERNIE 5.5 Flash before mid- or post-training: 280B total / 14B active MoE, 33.5T tokens, 128K training context, 1M for fine-tuning and inference, per the model card. @BaiduResearch, 5 Nov 07:49:05 UTC: ‘ERNIE 5.5 Flash Base is now open source’; @Baidu_ERNIE, 14:01 UTC: ‘The post-trained ERNIE 5.5 Flash is coming soon.’ Hugging Face API, 7 Nov: public, not gated; created 21 Oct, last weights commit 5 Nov 06:33 UTC. Deferred by the 5 Nov pass because its date equalled asOf (§10); now dated before asOf. [huggingface.co ↗](https://huggingface.co/baidu/ERNIE-5.5-Flash-Base) [x.com ↗](https://x.com/BaiduResearch/status/2118249227939967424) [x.com ↗](https://x.com/Baidu_ERNIE/status/2118342822516437115) - 4Nov ChatGPT Images 2.6; GPT-Image-2.6 Flare and GPT-Image-2.6 Sunburst OpenAIimage In ChatGPT and Codex across all tiers, and in the API (gpt-image-2.6-flare, gpt-image-2.6-sunburst) · OpenAI’s next image model after Images 2.5 (8 Sep), with GIF generation and reference images. @OpenAI, 4 Nov 23:35 UTC: ‘Images, upgraded—introducing ChatGPT Images 2.6. Now with GIFs and reference images.’ and ‘Images 2.6 is available today in ChatGPT, and Codex across all tiers on web, desktop, and mobile. GPT-Image-2.6 Flare and Sunburst are also available in the API.’ OpenAI’s API changelog, under 4 Nov: ‘Released GPT-Image-2.6 Sunburst and GPT-Image-2.6 Flare for image generation and editing, with adjustable complexity, SVG generation, and animated GIF generation.’ The API reference lists gpt-image-2.6-sunburst and gpt-image-2.6-flare without dated snapshots. [openai.com ↗](https://openai.com/index/introducing-images-2-6/) [developers.openai.com ↗](https://developers.openai.com/api/docs/changelog) [x.com ↗](https://x.com/OpenAI/status/2118124944928432327) [x.com ↗](https://x.com/OpenAI/status/2118124966055223755) [x.com ↗](https://x.com/OpenAIDevs/status/2118124753340756055) - 4Nov SWE-2 Flash Cognition[jeep build by Devin SWE-2 Flash (max), made 6 Nov](https://evalmap.ai/jeep/#devin-swe2-flash-max) Devin Desktop and CLI, free through 30 Nov; weights to be shared with industry partners and researchers through a program announced ‘in a few weeks’ · Smaller, faster sibling of SWE-2 (10 Sep): ‘one-fifth the price and 3x the speed’, per Cognition’s post of 4 Nov. Mid-trained and then trained with reinforcement learning on top of Inkling-Small from Thinking Machines (276B total, 12B active parameters). [cognition.com ↗](https://cognition.com/blog/swe-2-flash) [x.com ↗](https://x.com/cognition/status/2118069614521241739) - 4Nov Kimi K3.1 Pro open weights Moonshot AIopen weights Open weights on Hugging Face (moonshotai/Kimi-K3.1-Pro, Kimi K3.1 Pro License) · Weights of the model Moonshot put on its API and apps on 23 Oct, on the last day of the ‘by Nov 4’ promise in Kimi’s blog. @Kimi_Moonshot, 4 Nov 16:00 UTC: ‘Releasing the model weights of Kimi K3.1 Pro’, linking the Hugging Face repository, which is not gated and is released under the Kimi K3.1 Pro License, per its model card. [huggingface.co ↗](https://huggingface.co/moonshotai/Kimi-K3.1-Pro) [x.com ↗](https://x.com/Kimi_Moonshot/status/2118010528123773297) [kimi.ai ↗](https://www.kimi.ai/blog/kimi-k3-1-pro) - 4Nov Hy4 Tencent Hunyuan API (Tencent Cloud and OpenRouter, tencent/hy4) and Tencent apps (CodeBuddy and WorkBuddy, Yuanbao, ima) · The general release of Hy4 preview (28 Aug), listed as its own row because Tencent launched it as a new model rather than as the preview leaving beta: pre- and post-training were scaled up, and it adds vision (fine-grained image work, charts, visual maths) and computer use, with training on CAD, Blender and other professional software, per Tencent as reported by IT之家 (via Sina). @TencentHunyuan, 4 Nov 06:43 UTC: ‘Hy4 is here, new with vision. Firmly among the leading open models.’ OpenRouter lists tencent/hy4 from 04:20 UTC on 4 Nov, text and image in, 1M context, at $0.417/$1.25 per 1M input/output tokens (Hy4 preview there: $0.834/$2.50), half the preview’s, though IT之家 reports Tencent as saying the API price stays the same as the preview’s. No open weights so far: Tencent says the weights and a system card will follow soon, and at 08:14 UTC on 4 Nov the weights were not out: huggingface.co/tencent/Hy4 was not public, a search of Tencent’s Hugging Face models for Hy4 found only Hy4-preview and Hy4-preview-FP8 (created 27 Aug), ModelScope had no Tencent-Hunyuan/Hy4, and none of the five newest repositories of the Tencent-Hunyuan GitHub organisation was Hy4. Hy4 flash is planned. Tencent’s project page did not open. [x.com ↗](https://x.com/TencentHunyuan/status/2117870250838630539) [openrouter.ai ↗](https://openrouter.ai/tencent/hy4) [finance.sina.com.cn ↗](https://finance.sina.com.cn/tech/digi/2026-11-04/doc-inixpvuy6240206.shtml) - 4Nov Ripple-65B Preview Ricursive Intelligenceopen weights Open weights (Apache 2.0) on Hugging Face (ricursiveAI/Ripple-65B-Preview, with NVFP4 and DFlash2 builds); Together AI, GMI Cloud and OpenRouter (ricursiveai/ripple-65b-preview) · A 65B dense Transformer pretrained on 12 trillion tokens, with native tool calling and up to 1M context, per its model card. The Hugging Face repository’s first commit is at 02:41 UTC on 4 Nov; OpenRouter listed it at 19:03 UTC. [ricursive.com ↗](https://www.ricursive.com/ripple) [huggingface.co ↗](https://huggingface.co/ricursiveAI/Ripple-65B-Preview) [openrouter.ai ↗](https://openrouter.ai/ricursiveai/ripple-65b-preview) - 3Nov Soniox STT v6 Sonioxspeech Soniox API (stt-rt-v6 real-time and stt-async-v6 async); v5 models deprecated, to be removed on 15 Dec · Speech recognition for voice agents. @soniox_ai, 3 Nov 14:51 UTC: ‘Introducing Soniox STT v6, the world’s first speech recognition model that knows what your voice agent is saying and automatically filters out the agent’s own voice’, with agent text input as context and agent voice echo cancellation. Soniox’s models page, read on 5 Nov, lists stt-rt-v6 and stt-async-v6 as active. [soniox.com ↗](https://soniox.com/docs/stt/models) [x.com ↗](https://x.com/soniox_ai/status/2117630688904012268) - 3Nov Crouton Alpha Undisclosed (stealth) Free stealth API: OpenRouter (stealth/crouton-alpha) · Maker not disclosed. OpenRouter listed it at 01:38 UTC on 3 Nov as ‘a lightweight model built for scalable coding, agentic, and multimodal workflows’, with 1M context and text, image, video, file and audio input, free during the stealth period. [openrouter.ai ↗](https://openrouter.ai/stealth/crouton-alpha) - 2Nov LongCat-2.5 Meituan[jeep build by LongCat 2.5 (max), made 3 Nov](https://evalmap.ai/jeep/#longcat25-max) API (LongCat API Platform) and LongCat chat · The general release of LongCat-2.5-Preview (25 Sep), listed as its own row because Meituan launched it as a new model, with its own technical post and benchmark tables, rather than as the preview leaving beta. 1.6T parameters with ~48B active, natively multimodal: images become multi-level discrete tokens that the backbone reads like text. Aimed at long-horizon agent work, complex codebases and visual coding, and works in Claude Code, Codex, Hermes and other agent harnesses, per the LongCat API Platform changelog entry of 2 Nov. @Meituan_LongCat, 2 Nov 14:35 UTC: ‘Introducing LongCat-2.5, our latest natively multimodal agentic model with 1.6T total parameters and ~48B active.’ No open weights so far: the Hugging Face organisation’s newest model is LongCat-Flash-Lite-Sparse, uploaded 31 July. [longcat.chat ↗](https://longcat.chat/platform/docs/ChangeLog.html) [tech.meituan.com ↗](https://tech.meituan.com/2026/11/02/Meituan-LongCat-2.5.html) [x.com ↗](https://x.com/Meituan_LongCat/status/2117264311714537633) [huggingface.co ↗](https://huggingface.co/meituan-longcat) - 26–29 Oct - 29Oct Mistral Large 4 Mistral AIopen weights[3Don the atlas: Mistral Large 4 (high)](https://evalmap.ai/#mistral-large-4) Open weights on Hugging Face (mistralai/Mistral-Large-4-1T-A52B, Mistral Ecosystem Open-Weight License, a modified MIT licence; NVFP4 build) and the updated model on Mistral’s API (mistral-large-4) · The improved Mistral Large 4 (Le Chonk), released as open weights three weeks after the public preview listed here from 6 Oct, after ‘three weeks of additional reinforcement learning’, per Mistral’s post ‘Mistral Large 4 (Le Chonk) is now open weight’: ‘Today, we're releasing the weights of this improved Mistral Large 4.’ @MistralAI, 29 Oct 14:21 UTC: ‘Today, we release the weights of a new and improved Le Chonk’; @b_roziere, 16:48 UTC: ‘We just released an updated version of le Chonk (ML4) on the API and on HuggingFace.’ The Hugging Face repository’s ‘Initial release’ commit is at 14:11 UTC on 29 Oct, ahead of the 18:00 UTC ETA. Mistral’s documentation, read on 5 Nov, still labels the model ‘Public Preview’ from 6 Oct and its changelog has no 29 Oct entry, so Mistral does not call this a general release; Artificial Analysis lists it as mistral-large-4 apart from mistral-large-4-preview. [mistral.ai ↗](https://mistral.ai/news/mistral-large-4-oss/) [huggingface.co ↗](https://huggingface.co/mistralai/Mistral-Large-4-1T-A52B) [x.com ↗](https://x.com/MistralAI/status/2115811242556137820) [x.com ↗](https://x.com/b_roziere/status/2115848165689561587) [docs.mistral.ai ↗](https://docs.mistral.ai/models/mistral-large-4-0) - 28Oct Prism Rimespeech Rime’s API, with a free account at app.rime.ai; in the cloud, on-premises or in a customer’s VPC; no weights · A speech-to-speech model for voice agents that writes its reply as text before it speaks, so the text can be checked first. Rime’s page: ‘Prism is Rime's speech-to-speech model. It reasons over your callers' actual audio, understanding their tone as well as their words, and generates text you can check against your guardrails before it speaks.’ Customers can fine-tune it on their own calls. ‘Prism docs are coming soon. In the meantime, sign up for a free account at app.rime.ai/signup and try it yourself.’ The page carries no date and the Wayback Machine has no copy of it, so the row is dated by the post of Rime’s founder and chief executive, @lilyjclifford, 28 Oct 19:08 UTC: ‘introducing prism, the world’s first speech-to-speech model you can’t tell from a human in conversation’. Its speed and accuracy against OpenAI’s and Google’s realtime models are Rime’s own figures. [rime.ai ↗](https://rime.ai/prism) [x.com ↗](https://x.com/lilyjclifford/status/2115521147890520503) - 28Oct Particle-1 Particle AI Particle’s API (OpenAI-compatible, particle-1, with a 1,048,576-token context); OpenRouter (particle-ai/particle-1) and Vercel’s AI Gateway; no weights · Particle’s first model, post-trained on DeepSeek V4.1 Flash for token efficiency: Particle reports about 45% fewer tokens on average than the base model at a similar task pass rate (72.57% against 71.15% on its own task set) and a lower cost per task. Particle’s blog of 28 Oct: ‘Today, we’re launching Particle to make highly optimized intelligence accessible to everyone.’ Its docs: ‘Start with particle-1’. Its founder @Suhail, 28 Oct 17:36 UTC: ‘Excited to announce our new company Particle’ and ‘Live now’. OpenRouter listed it at 17:18 UTC and Vercel’s AI Gateway the same day; the Wayback Machine’s first copy of the blog is from 17:47 UTC. Listed like Fireworks’ Ember-1, a post-train sold as a model of its own; its figures are Particle’s own. [particle.ai ↗](https://particle.ai/blog/introducing-particle-1) [docs.particle.ai ↗](https://docs.particle.ai/models) [x.com ↗](https://x.com/Suhail/status/2115497949421883648) - 28Oct AssemblyAI-TTS-1 AssemblyAIspeech AssemblyAI’s Text-to-Speech API and playground; no weights · AssemblyAI’s first text-to-speech model, built for voice agents: audio streams in 90 ms, with more than 4,000 voices, instant voice cloning and accents for English, Spanish, French, German, Italian and Portuguese, at $15 per 1M characters with unlimited concurrency and no annual contract. Its blog: ‘AssemblyAI-TTS-1, our new state-of-the-art text-to-speech model, is now generally available.’ The blog is dated 27 October 2026 with no time, but @AssemblyAI introduced the model on 28 Oct at 15:47 UTC and wrote ‘Live today’ six seconds later, and the Wayback Machine’s first copy of the blog is from 17:19 UTC on 28 Oct, so the row is dated by the post, as Celeris-1 Magnus was. OpenRouter announced it at 20:32 UTC. Its quality figures are AssemblyAI’s own. [assemblyai.com ↗](https://www.assemblyai.com/blog/text-to-speech-api) [x.com ↗](https://x.com/AssemblyAI/status/2115470615583056042) [x.com ↗](https://x.com/AssemblyAI/status/2115470639499010275) - 28Oct Nemotron 3.5 Transcribe NVIDIAspeechopen weights Open weights (OpenMDW-1.1) on Hugging Face (nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B, BF16), with NeMo, vLLM, SGLang-Omni and Transformers support · An offline, promptable speech model built on Nemotron 3.5 Lightning, a 30B mixture-of-experts with about 4B active (34B and 4.3B with its audio encoder, per the model card): transcription in 40 languages, with speaker attribution, translation and questions about the audio, on recordings up to an hour with a 65,536-token context. NVIDIA’s blog, 28 Oct 15:00 UTC by its feed: ‘Introduced today, NVIDIA Nemotron 3.5 Transcribe is a new, open weight speech model that turns recorded conversations into useful information.’ and ‘It’s available today on Hugging Face.’ @NVIDIAAI posted it at 15:14 UTC. Checked through the Hugging Face API on 28 Oct: public and not gated, and the model card gives 28 Oct as its Hugging Face release date; the repository was created on 7 Oct and its first commit made at 12:22 UTC on 27 Oct, but it was not in NVIDIA’s public list at 12:57 UTC that day. The FP8 and NVFP4 variants the model card links were not public at 22:26 UTC on 28 Oct, and the blog says quantized versions are ‘coming soon’. [huggingface.co ↗](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B) [blogs.nvidia.com ↗](https://blogs.nvidia.com/blog/local-ai-rtx-spark-laptops-updates-models-agents-games/) [x.com ↗](https://x.com/NVIDIAAI/status/2115462300241141882) - 28Oct Clover-35B-A3B-Preview DiffuSpaceopen weights Open weights (Apache 2.0) on Hugging Face (Diffuspace/Clover-35B-A3B-Preview) and ModelScope, with SGLang and llama.cpp code on GitHub; chat on DiffuSpace’s site · DiffuSpace’s first model, an open-weight diffusion language model that writes text in parallel blocks rather than token by token: a mixture-of-experts with 35B parameters and about 3B active per token, a 128K context and a thinking mode. Its model card calls it ‘a text-only model derived from’ Alibaba’s Qwen3.6-35B-A3B; it is listed as a model of its own, a new architecture on Qwen’s weights launched as DiffuSpace’s first model, like NVIDIA’s Nemotron 3.5 Bolt E4B on Gemma 4 E4B. @DiffuSpace_Labs, 28 Oct 03:42 UTC: ‘Meet Clover-35B-A3B-Preview’ and ‘available today’ on Hugging Face, ModelScope and its website. Checked through the Hugging Face API on 29 Oct: public and not gated, under Apache 2.0; the repository was created on 24 Oct and its single commit made at 03:07 UTC on 28 Oct, and the ModelScope repository was created at 03:16 UTC that day. Its benchmark figures, 73.6 on SWE-bench Verified among them, and its speed of 680 tokens a second on one GPU are DiffuSpace’s own. [huggingface.co ↗](https://huggingface.co/Diffuspace/Clover-35B-A3B-Preview) [diffuspace.ai ↗](https://diffuspace.ai/blog/clover-35b/) [x.com ↗](https://x.com/DiffuSpace_Labs/status/2115288124691820738) - 27Oct LFM3-1.7B and LFM3-VL-2B Liquid AIopen weights Open weights (LFM Open License v1.0) on Hugging Face, with the LFM3-1.7B-Base checkpoint; Liquid AI’s API and Playground · The first models of Liquid’s LFM3 generation, on a new ‘tri-hybrid’ architecture of short convolutions with sliding-window and global attention: LFM3-1.7B, a 1.73B text model with a 256K-token context, post-trained for agent harnesses, and LFM3-VL-2B, a 1.9B vision-language model that also takes video. Liquid’s blog of 27 Oct: ‘The base and post-trained models are open-weight and available today on Hugging Face, our Playground, and the Liquid AI API.’ @liquidai posted it at 17:07 UTC. Checked through the Hugging Face API on 28 Oct: public, not gated, under the LFM Open License v1.0; the weights were committed on 27 Oct, and the repositories were not in Liquid’s public list at 13:16 UTC that day. OpenRouter, which the blog names as a day-0 partner, did not list LFM3 at 21:30 UTC on 28 Oct. The same launch brought LFM3-Audio-2B and LFM3-Omni-2B, listed as speech, and two decision models. [liquid.ai ↗](https://www.liquid.ai/blog/lfm3) [huggingface.co ↗](https://huggingface.co/LiquidAI/LFM3-1.7B) [huggingface.co ↗](https://huggingface.co/LiquidAI/LFM3-VL-2B) [x.com ↗](https://x.com/liquidai/status/2115128329003303107) - 27Oct LFM3-Audio-2B and LFM3-Omni-2B Liquid AIspeechopen weights Open weights (LFM Open License v1.0) on Hugging Face; Liquid AI’s API and Playground · The audio and omni models of Liquid’s LFM3 launch, both branched from LFM3-1.7B-Base. Liquid’s blog of 27 Oct: LFM3-Audio-2B ‘takes text or audio as input and responds with text, speech, or both’, and, per @liquidai, handles tool calls, voice chat and reasoning in 18 languages; LFM3-Omni-2B, Liquid’s ‘first omni model’, brings vision, audio and language together in a model that ‘can see, listen, and talk back’. Listed apart from LFM3-1.7B and LFM3-VL-2B because they speak, as Hy-SimulMT and Qwen-Audio-3.1-Realtime-Plus are listed as speech. Checked through the Hugging Face API on 28 Oct: public, not gated, under the LFM Open License v1.0; the weights were committed at 16:22 UTC (Audio) and 17:25 UTC (Omni) on 27 Oct. [liquid.ai ↗](https://www.liquid.ai/blog/lfm3) [huggingface.co ↗](https://huggingface.co/LiquidAI/LFM3-Audio-2B) [huggingface.co ↗](https://huggingface.co/LiquidAI/LFM3-Omni-2B) [x.com ↗](https://x.com/liquidai/status/2115128329003303107) - 27Oct MAI-Image-2.7-Preview Microsoft AIimage Image-editing preview on MAI Playground, Arena and Artificial Analysis; text-to-image ‘coming soon’; no weights · Microsoft AI’s new image-editing model, after MAI-Image-2.6. Its page, 27 Oct, 15:10 UTC per the page data: ‘MAI Image 2.7, our latest image editing model, launches with even stronger control for edits that are hardest to get right. It launches in preview …’ and ‘Try MAI Image 2.7’s image editing capabilities today on Arena, Artificial Analysis and MAI Playground. We’re starting with editing, with text-to-image generation coming soon.’ The page’s text says MAI Image 2.7 and MAI-Image-2.7, and Arena and @MicrosoftAI call it MAI-Image-2.7-Preview and MAI Image 2.7 Preview; the hyphenated form follows MAI-Image-2.6-Flash. Artificial Analysis posted its results at 15:05 UTC and @MicrosoftAI posted at 15:26 UTC. [microsoft.ai ↗](https://microsoft.ai/news/mai-image-2-7-debut/) [x.com ↗](https://x.com/MicrosoftAI/status/2115102961957499069) - 27Oct Qwen-Audio-3.1-Realtime-Flash Alibaba Qwenspeech API (QwenCloud / Model Studio International, qwen-audio-3.1-realtime-flash); no weights · The Flash tier of Qwen-Audio-3.1-Realtime-Plus (20 Sep): real-time duplex speech conversation with text and audio in and out, function calling, web search and voice cloning, and a 262,144-token context. Alibaba Cloud’s Model Studio lists it under 2026-10-27 for its International service, and the QwenCloud changelog under ‘October 27, 2026’, with no time; the changelog as read at 12:58 UTC on 27 Oct did not yet carry it. Qwen posted nothing about it. [alibabacloud.com ↗](https://www.alibabacloud.com/help/en/model-studio/newly-released-models) [docs.qwencloud.com ↗](https://docs.qwencloud.com/changelog/models) [help.aliyun.com ↗](https://help.aliyun.com/zh/model-studio/newly-released-models) - 27Oct Ling-3.1-flash-1019 open weights inclusionAI (Ant Group)open weights Open weights (MIT) on Hugging Face and ModelScope: inclusionAI/Ling-3.1-flash-1019, with the Ling-3.1-flash-base checkpoint · An upgraded Ling-3.1-flash that Ant Ling announced on 22 Oct with API access and open weights ‘coming soon’: 560B total and 25B active parameters and a 1M-token context, per its model card, and 44 on the Artificial Analysis Intelligence Index v4.3.2, up from 41 for Ling-3.1-flash. @AntLingAGI, 27 Oct 12:44 UTC: ‘Now open source: Ling-3.1-flash-1019 … Also releasing Ling-3.1-flash-base, an open foundation for further training.’ Checked through the Hugging Face API on 27 Oct: public, not gated, MIT; the repository was created at 05:46 UTC that day and its FP8 weights uploaded at 10:45–10:46 UTC. Ling-3.1-flash-base is the BF16 base checkpoint of Ling-3.1-flash, also under MIT; its repository was created on 25 Oct but was not in inclusionAI’s public list at 07:05 UTC that day. Ant Ling’s model docs, updated on 27 Oct, and OpenRouter do not list Ling-3.1-flash-1019, so API access was not established. [huggingface.co ↗](https://huggingface.co/inclusionAI/Ling-3.1-flash-1019) [huggingface.co ↗](https://huggingface.co/inclusionAI/Ling-3.1-flash-base) [x.com ↗](https://x.com/AntLingAGI/status/2115062200687878157) - 27Oct Maya 2 Native Maya Researchspeechopen weights Open weights (Apache 2.0) and inference code on Hugging Face (maya-research/maya2-native) and GitHub, with a Python API, an OpenAI-compatible speech endpoint and WebSocket streaming · A streaming text-to-speech model for 11 Indic languages and English: 2.5B parameters on a Qwen3-1.7B-Base backbone, 24 kHz speech, 20 built-in voices and zero-shot voice cloning from 3–10 seconds of reference audio, per its model card. Maya Research’s chief executive @Dheemanthredy, 27 Oct 08:51 UTC: ‘Maya-2 voice model weights are officially live!’ and ‘The frontier voice model for India is now completely open-weight.’ The model card dates checkpoint 1.0 to 25 Oct; the Hugging Face and GitHub repositories were created at 02:58 UTC on 26 Oct and the weights committed at 06:20 UTC that day, but when they became public was not established, so the row is dated by the post. VoiceArena, whose Hindi leaderboard the model card cites, dates its Maya-2-Native entry to July 2026; whether Maya offered the model before its weights was not established. Its comparisons with ElevenLabs, Sarvam and Cartesia are Maya’s own. [huggingface.co ↗](https://huggingface.co/maya-research/maya2-native) [github.com ↗](https://github.com/MayaResearch/maya2-native) [x.com ↗](https://x.com/Dheemanthredy/status/2115003351637328204) - 26Oct GPT-6.1 Terra OpenAI[jeep build by GPT-6.1 Terra (max), made 27 Oct](https://evalmap.ai/jeep/#gpt61terra-max) API (Responses, Chat Completions without tools, Batch) and ChatGPT Work and Codex on the Plus, Pro, Business, Enterprise and Edu plans; not in ChatGPT’s Chat · gpt-6.1-terra, ‘a fast, efficient model for visual reasoning, precise computer use, and clear, natural writing’, per OpenAI’s API changelog entry of 26 Oct. Text and image in, text out; 1.05M context (922K of it input), 128K output, knowledge to 1 Jun 2026; effort none to max, medium the default. $1/$5 per million input/output tokens, cached input at $0.05 and 30-minute cache writes at $1.25; prompts over 272K input tokens cost 2× input and 1.5× output, and Batch and Flex half. @OpenAI, 26 Oct 18:06 UTC, in a thread: ‘GPT-6.1 Terra is rolling out now and is available to all Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex. Developers can also access it through the OpenAI API as gpt-6.1-terra.’ Codex’s changelog of 26 Oct adds the Business plan and says the model ‘isn’t available in Chat’. OpenAI’s post is dated 26 Oct with no time; openai.com refused direct reads, so it was read in the Wayback Machine. OpenRouter listed it at 18:13 UTC and Amazon Bedrock the same day; GPT-6.1 Terra Pro on OpenRouter is the same model with a pro reasoning mode, a setting. [developers.openai.com ↗](https://developers.openai.com/api/docs/changelog) [developers.openai.com ↗](https://developers.openai.com/api/docs/models/gpt-6.1-terra) [openai.com ↗](https://openai.com/index/introducing-gpt-6-1-terra/) [developers.openai.com ↗](https://developers.openai.com/codex/changelog) [x.com ↗](https://x.com/OpenAI/status/2114780711664398349) [x.com ↗](https://x.com/OpenAI/status/2114780720170164735) - 26Oct Hy-SimulMT Tencent Hunyuanspeechopen weights Open weights (Apache 2.0, with third-party components under their own licences) on Hugging Face (tencent/Hy-SimulMT-30B-A3B, with FP8, GGUF and Interleave variants) and ModelScope, the SimulInfer and SimulTrain code on GitHub, and the Hy Translate app · Simultaneous interpreting between Chinese and English: it takes in speech as the speaker talks and gives translated text and speech, cloning the speaker’s voice in real time, per the model card; speech output and voice cloning need a separate TTS service, and Tencent’s RealSI evaluation puts its delay at about 3 s. A 30B mixture-of-experts with 3B active, by its name. @TencentHunyuan, 26 Oct 12:52 UTC: ‘Hy-SimulMT is now open source! … Tencent HY’s real-time Chinese ↔ English Simultaneous Interpreting Model’; the model card: ‘2026.10.26 | Release’. Checked through the Hugging Face API on 27 Oct: public and not gated; the repository was created on 22 Oct and its weights uploaded on 24 Oct, but it was not in Tencent’s public list at 04:50 UTC on 25 Oct. The licence file names Qwen3-ASR-0.6B as a third-party component. Whether the Hy Translate app carried the model before 26 Oct was not established. [huggingface.co ↗](https://huggingface.co/tencent/Hy-SimulMT-30B-A3B) [github.com ↗](https://github.com/Tencent-Hunyuan/Hy-SimulMT) [x.com ↗](https://x.com/TencentHunyuan/status/2114701815807947159) - 19–25 Oct - 25Oct Nanbeige4.3-33B Nanbeige LLM Lab (BOSS Zhipin)open weights Open weights (Apache 2.0) on Hugging Face and ModelScope, with the Nanbeige4.3-33B-Base checkpoint · A model of about 33B parameters for agentic coding and office work, with a 512K-token context and reasoning on by default, per its model card; the lab means it as the teacher for smaller Nanbeige4.3 models, starting with a 3B. @nanbeige (Nanbeige LLM Lab, BOSS Zhipin), 25 Oct 12:11 UTC: ‘Excited to announce Nanbeige4.3-33B!’, with links to both repositories. Checked through the Hugging Face API on 27 Oct: public, not gated, Apache 2.0, fine-tuned from Nanbeige4.3-33B-Base; the repository was created on 24 Oct and its weights uploaded at 11:57 UTC that day, but when it became public was not established, so the row is dated by the post. [huggingface.co ↗](https://huggingface.co/Nanbeige/Nanbeige4.3-33B) [huggingface.co ↗](https://huggingface.co/Nanbeige/Nanbeige4.3-33B-Base) [x.com ↗](https://x.com/nanbeige/status/2114328933181333798) - 23Oct Kimi K3.1 Pro Moonshot AI[jeep build by Kimi K3.1 Pro (max), made 23 Oct](https://evalmap.ai/jeep/#kimi-k31-pro-max) Kimi API (kimi-k3.1-pro, $2/$10 per million input/output tokens; kimi-k3.1-pro-highspeed, $4/$20), Kimi Code (K3.1 Pro from the Plus plan, Highspeed from Pro), Kimi.ai, Kimi Work and the Kimi apps; weights promised by 4 Nov · The first model of Moonshot’s K3.1 series, a post-trained Kimi K3: 2.8T total and 104B active parameters, a 1M-token context and image input, reasoning always on with low, high and max effort. K3.1 Pro Highspeed is the same model 2–3× faster at twice the input and output price. @Kimi_Moonshot, 23 Oct 17:15 UTC: ‘Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026.’ Kimi Code’s what’s-new page: ‘K3.1 Pro Series is live October 23, 2026’; Moonshot’s blog carries no date and was first archived at 17:11 UTC. The Jeep build linked here is dated 23 Oct. Prices are from Moonshot’s pricing page (‘Rates checked on October 24, 2026’); the platform’s own price table loads in the browser and was not read. Moonshot’s platform changelog, read on 25 Oct, still ends in September, and its newest Hugging Face repository is still Kimi-K3. [kimi.ai ↗](https://www.kimi.ai/blog/kimi-k3-1-pro) [platform.kimi.ai ↗](https://platform.kimi.ai/docs/models) [kimi.com ↗](https://www.kimi.com/code/docs/en/kimi-code/whats-new.html) [kimi.ai ↗](https://www.kimi.ai/resources/kimi-k3-1-pro-pricing) [x.com ↗](https://x.com/Kimi_Moonshot/status/2113680701770068067) - 23Oct Hy-Nomas Tencent Hunyuanvideoopen weights Open weights (Apache 2.0, with third-party components under their own licences) on Hugging Face (tencent/Hy-Nomas), code on GitHub and a web demo · An interactive video world model: it generates a world one 720p video segment at a time from text instructions and camera trajectories, carrying earlier segments in a key/value cache, per the model card. @TencentHunyuan, 23 Oct 17:00 UTC: ‘Introducing Hy-Nomas: An Open Source Free-Form Interactive Video World Model’. Checked through the Hugging Face API on 25 Oct: public and not gated; the repository was created on 21 Oct, but its first commit is dated 11:18 UTC on 23 Oct, and the GitHub code was committed at 09:01 UTC that day. A third-party wiki’s 21 Oct date has no Tencent page behind it. Tencent’s project site did not open. [huggingface.co ↗](https://huggingface.co/tencent/Hy-Nomas) [github.com ↗](https://github.com/Tencent-Hunyuan/Hy-Nomas) [x.com ↗](https://x.com/TencentHunyuan/status/2113676827114053892) - 23Oct Nemotron 3.5 Bolt E4B NVIDIAopen weights Open weights on Hugging Face (nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-BF16, a 4GB Q4_K_M GGUF and two DFlash draft models; OpenMDW-1.1) and an API trial on build.nvidia.com · A small open model for local assistants, characters and robots, post-trained by NVIDIA from Google’s Gemma 4 E4B: 8B parameters (4B effective), text in and out and a 64K context, per the model card. NVIDIA’s research page, ‘Published: October 23, 2026’: ‘Today, we’re excited to release Nemotron 3.5 Bolt E4B 4GB’; @NVIDIAAI, 23 Oct 15:41 UTC: ‘Available now’ — the day NVIDIA had named on 13 and 15 Oct. Checked through the Hugging Face API on 25 Oct: the four repositories are public and not gated, and the BF16 and 4GB models are under OpenMDW-1.1; they were created closed on 5 and 9 Oct, the BF16 repository’s history starts at 15:12 UTC on 23 Oct, and they were not public at 13:43 UTC but were linked by a third-party post at 15:28 UTC. NVIDIA’s NIM reference dates build.nvidia.com to 23 Oct. Ollama, LM Studio and Unsloth, which NVIDIA also names, were not checked. [huggingface.co ↗](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-BF16) [huggingface.co ↗](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB) [research.nvidia.com ↗](https://research.nvidia.com/labs/nemotron/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB/) [docs.api.nvidia.com ↗](https://docs.api.nvidia.com/nim/reference/nvidia-nemotron-3_5-bolt-e4b) [x.com ↗](https://x.com/NVIDIAAI/status/2113657112408785153) [x.com ↗](https://x.com/aitrackerbot/status/2113653856701698490) - 23Oct Coda v2 Rimespeech Rime’s API (modelId coda), with new per-model endpoints at coda.api.rime.ai serving HTTP, WebSockets and gRPC; on-premises image coda/v2; no weights · Version 2 of Coda, Rime’s flagship text-to-speech model (v1 shipped on 19 May), retrained to take phonemes: a request can carry a custom lexicon that maps a spelling to its phonemes in X-SAMPA. Rime’s page of 23 Oct: ‘With our release of Coda v2, we’re handing that control to you.’ and ‘Coda now speaks 10 languages, with 313 voices to choose from.’; against the last version, ‘each voice sounds a little closer to the person it’s built on, and a little more natural’. @rimelabs, 23 Oct 14:17 UTC: ‘Coda v2 is live!’ Listed as a new version of a model, like Eleven v4 and Grok Voice 3.0, not a checkpoint update such as Coda 1.0.5. Requests still name modelId coda, the on-premises image moved from coda/v1 to coda/v2, and Rime’s API changelog has no entry for it. [rime.ai ↗](https://www.rime.ai/resources/coda-v2-phonemes) [rime.ai ↗](https://www.rime.ai/tts-models) [x.com ↗](https://x.com/rimelabs/status/2113635849782890732) - 23Oct Atria Dawn open weights Shanghai AI Laboratoryopen weights Open weights (MIT) on Hugging Face (internlm/Atria-Dawn and Atria-Dawn-FP8) and ModelScope · Weights of the full Atria Dawn, which Shanghai AI Laboratory put on its API on 15 Oct as the general release of the preview listed here from 14 Sep (@AtriaASI, 15 Oct 15:52 UTC: ‘Atria Dawn officially launches today’), a post-train of Z.ai’s 744B-parameter GLM-5.2 with a 512K context. On 23 Oct at 12:30 UTC the maker’s GitHub README replaced ‘Coming soon’ with the Hugging Face and ModelScope links. Checked through the Hugging Face API on 25 Oct: public and not gated; created at 03:21 UTC on 23 Oct and last modified at 12:46 UTC. No maker post about the weights was found. [huggingface.co ↗](https://huggingface.co/internlm/Atria-Dawn) [github.com ↗](https://github.com/atria-asi/Atria-Dawn/commit/436c1f3e150a5d16f0a825b5d93799500d1c9542) [x.com ↗](https://x.com/AtriaASI/status/2110760654655385841) - 23Oct MiniMax-M3.1-Flash open weights MiniMaxopen weights[jeep build by MiniMax-M3.1-Flash, made 19 Oct](https://evalmap.ai/jeep/#minimax-m31-flash) Open weights on Hugging Face (MiniMaxAI/MiniMax-M3.1-Flash, minimax-community licence); MiniMax’s post also links ModelScope · Weights of the model MiniMax put on its API on 19 Oct, the general release of the preview listed here from 27 Sep: about 428B total and 23B active parameters per token, text, image and video input and a context of up to 1M tokens, per the model card. @MiniMax_AI, 23 Oct 01:06 UTC: ‘MiniMax M3.1 Flash weights are now public’, the day MiniMax had named on 19 Oct. Checked through the Hugging Face API at 10:01 UTC on 23 Oct: the repository is public and not gated, licence ‘other’ (minimax-community); it was created on 17 Oct and its single commit is dated 03:37 UTC on 23 Oct, after the post. Hugging Face’s own ‘220B params’ counts packed 8-bit elements, not parameters. On 19 Oct MiniMax said Space Bunny, the anonymous model listed here from 23 Sep, ‘was an earlier version of M3.1 Flash’. [huggingface.co ↗](https://huggingface.co/MiniMaxAI/MiniMax-M3.1-Flash) [x.com ↗](https://x.com/MiniMax_AI/status/2113436864904610008) [x.com ↗](https://x.com/MiniMax_AI/status/2112150867868541221) - 22Oct Canva Craft Canvaimage In Canva for all users, and in the preview image-generation API of Canva’s REST API as craft_v1_2k (‘CRAFT-1 2K’) · Canva’s first image-generation model of its own, built for design. @canva, 22 Oct 19:16 UTC: ‘Introducing Canva Craft … Extraordinary image generation is now available to everyone, powered by our first frontier model built specifically for design.’ Canva’s developer reference, read on 23 Oct, lists craft_v1_2k, ‘CRAFT-1 2K, Canva's first-party image generation model’, among the models of its preview Create image generation job API, which opened on 1 Oct; whether that API served Craft before 22 Oct was not established. No weights. [canva.dev ↗](https://www.canva.dev/docs/apps/rest-apis/reference/generations/create-image-generation-job/) [canva.com ↗](https://www.canva.com/newsroom/news/canva-craft/) [x.com ↗](https://x.com/canva/status/2113348707223753165) - 22Oct Ideogram Vector Ideogramimage In Ideogram and the API · Ideogram’s first vector model: clean, editable SVGs with gradients and typography from a text prompt, or a vector traced from an image. @ideogram_ai, 22 Oct 16:03 UTC: ‘Today, we’re introducing Ideogram's first vector model … Live in Ideogram and the API’. The name is from Ideogram’s model menu; its model page carries no date and was first archived on 23 Oct. No weights. The 22–23 Oct passes missed it. [ideogram.ai ↗](https://ideogram.ai/models/vector) [x.com ↗](https://x.com/ideogram_ai/status/2113300317584720259) - 22Oct Ling-3.0-flash-Sante inclusionAI (Ant Group)open weights Open weights (MIT) on Hugging Face and ModelScope: inclusionAI/Ling-3.0-flash-Sante · A healthcare-tuned Ling-3.0-flash: 124B total and 5.1B active parameters, trained to 256K tokens, for medical reasoning, deep research and tool use. @AntLingAGI, 22 Oct 15:36 UTC: ‘Today, we’re officially open-sourcing Ling-3.0-flash-Sante … The model weights are now available’. Checked through the Hugging Face API on 23 Oct: public, not gated, MIT; created on 19 Oct at 17:30 UTC and last modified on 22 Oct at 14:53 UTC. The model card links a Vercel AI Gateway listing, whose own release field reads 4 Sep, which no Ant page supports; earlier API access was not established. [huggingface.co ↗](https://huggingface.co/inclusionAI/Ling-3.0-flash-Sante) [x.com ↗](https://x.com/AntLingAGI/status/2113293431435149349) - 22Oct Spark-X2.6 iFlytek API and web trial on iFlytek’s MaaS platform (model spark-x2.6); no weights · iFlytek’s flagship model, launched at its 1024 Developer Festival on 22 Oct: a 293B-A30B mixture-of-experts model trained on Chinese hardware, with a 1M-token context, per iFlytek’s MaaS docs. @iflytek1999, 22 Oct 12:38 UTC: ‘Upgraded Spark X2.6 models with enhanced coding, agent capabilities, and cloud-device collaboration.’ The MaaS model table, read on 23 Oct, gives spark-x2.6 a listing date of 20 Oct (Beijing calendar date), so it could be used two days before the launch; it also lists a Spark-X2.6-Preview with a 256K context from 13 Oct, and whether that is an earlier checkpoint of the same model was not established. No API was called. [maas.xfyun.cn ↗](https://maas.xfyun.cn/doc/guide/2%E3%80%81%E6%A8%A1%E5%9E%8B%E4%BB%8B%E7%BB%8D/2.1.1%20Spark-X2.6.html) [x.com ↗](https://x.com/iflytek1999/status/2113248645059391536) [ithome.com ↗](https://www.ithome.com/1/016/403.htm) - 21Oct Flint Recursiveopen weights Open weights on Hugging Face (RecursiveSI/flint, BF16, Apache 2.0) with a local inference engine · Recursive’s first model: a mixture-of-experts coding model with 39.8B total and about 2.5B active parameters, built to run coding agents on local hardware. The model card reports 54.9% on Terminal-Bench 2.1 and 74.2% on SWE-bench Verified (maker-reported). Checked through the Hugging Face API on 22 Oct: RecursiveSI/flint was created on 21 Oct at 14:20 UTC, licence Apache 2.0; the blog post carries no date. [recursive.com ↗](https://www.recursive.com/updates/introducing-recursive-flint) [huggingface.co ↗](https://huggingface.co/RecursiveSI/flint) - 20Oct Spark-X2.6-4B iFlytekopen weights Open weights (Apache 2.0) on Hugging Face: XHToken/Spark-X2.6-4B, with Base, GGUF, FP8, INT8 and INT4 repositories; API on iFlytek’s MaaS platform (spark-x2.6-4b) from 21 Oct · A 4B model of the Spark X2.6 family with thinking set to none, low or high. @SparkLLM, 20 Oct 18:36 UTC: ‘Spark-X2.6-4B is here! Stronger coding, agents & long-context skills through improved post-training.’ Checked through the Hugging Face API on 23 Oct: public, not gated, Apache 2.0; created on 19 Oct at 03:19 UTC, but when it became public was not established, so the row is dated by the post. iFlytek’s MaaS table lists it from 21 Oct with a 1M-token context. The 20–22 Oct passes missed it. [huggingface.co ↗](https://huggingface.co/XHToken/Spark-X2.6-4B) [x.com ↗](https://x.com/SparkLLM/status/2112614036227408363) [maas.xfyun.cn ↗](https://maas.xfyun.cn/doc/guide/2%E3%80%81%E6%A8%A1%E5%9E%8B%E4%BB%8B%E7%BB%8D/2.1.1%20Spark-X2.6.html) - 20Oct Eleven Realtime v1 Mini and Eleven Realtime v1 Max ElevenLabsspeech ElevenAgents and ElevenLabs’ Realtime API (compatible with OpenAI’s Realtime API); no weights · ElevenLabs’ realtime models for voice agents, in more than 90 languages with any voice in its library: Mini for low-cost conversation, Max for complex, tool-heavy tasks (87.1% against 60.3% of tool-use tasks completed, maker-reported). ElevenLabs’ blog, ‘Published Oct 20, 2026’: ‘Today, we’re launching: Eleven Realtime v1 Mini … Eleven Realtime v1 Max’. The 20–22 Oct passes missed it. [elevenlabs.io ↗](https://elevenlabs.io/blog/realtime) - 20Oct Voxtral 3: Voxtral Small Transcribe 3 and Voxtral Mini Transcribe 3 Mistral AIspeech Public preview on Mistral’s API, with a voice agent SDK; self-deployment for organisations · Mistral’s third Voxtral generation, a family of speech-to-text and speech models for voice agents in 50+ languages. Mistral’s docs date Voxtral Small Transcribe 3 ‘October 20, 2026 · Public Preview’ at $0.004 a minute; the announcement’s charts were ‘generated 2026-10-20’. No open weights were found; self-deployment is offered to organisations. TestingCatalog’s 21 Oct report came a day late. [mistral.ai ↗](https://mistral.ai/news/voxtral-3) [docs.mistral.ai ↗](https://docs.mistral.ai/models/voxtral-small-transcribe-3-0) [marktechpost.com ↗](https://www.marktechpost.com/2026/10/20/mistral-voxtral-3-speech-models-voice-agent-sdk/) - 20Oct FastH3-Omni open weights FastVideo (Hao AI Lab)videoopen weights Open weights on Hugging Face (FastVideo organisation, ComfyUI builds in BF16, FP8 and NVFP4), with training code · The final weights of FastH3-Omni, the post-train of MiniMax’s H3 whose preview API opened on 13 Oct, on the day FastVideo had named. @haoailab, 20 Oct: ‘As promised, FastVideo open-sources … FastH3 Omni, training code included’. Checked through the Hugging Face API on 21 Oct: FastVideo/FastH3-Omni-Comfy was created on 20 Oct at 04:58 UTC and the FP8 and NVFP4 builds at 17:18 and 17:21 UTC; the licence is marked ‘other’. An 8-step repository created on 5 Oct was probably private until then; when it became public was not established. [x.com ↗](https://x.com/haoailab/status/2112625528805208257) [huggingface.co ↗](https://huggingface.co/api/models?author=FastVideo&search=FastH3) [haoailab.com ↗](https://haoailab.com/blogs/fastvideo-omniref-update/) - 20Oct Ampersand v0.1 humans& humans& Agents API; Vercel AI Gateway (humansand/ampersand-v0.1) from 6 Nov · First model of humans&, trained for multi-person collaboration. humans& blog, 20 Oct: ‘Ampersand v0.1 is our first model trained with this paradigm. We are releasing Ampersand v0.1 through our Agents API’; the post header: ‘Available today through our API. By humans& · Oct 20’. Missed by past passes; found on Vercel AI Gateway on 6 Nov. [ampersand.humansand.ai ↗](https://ampersand.humansand.ai/blog/) [humansand.ai ↗](https://humansand.ai/blogs/) - 19Oct FLUX 3 Max falvideo On fal (fal-ai/flux-3-max) · fal’s post-train of Black Forest Labs’ FLUX 3 for fast video. @bfl_ai, 19 Oct 18:51 UTC: ‘Introducing FLUX 3 Max … Generate a 10-second video in 12 seconds … @fal adapted and optimized it to create FLUX 3 Max.’ fal’s model page says ‘post-trained by fal’ and carries no date; no post of fal’s own was found, so the row is dated by BFL’s. As with MiniMax H3 Max, the maker is fal. No weights. Earlier passes missed it. [fal.ai ↗](https://fal.ai/models/fal-ai/flux-3-max) [x.com ↗](https://x.com/bfl_ai/status/2112255353677328415) - 19Oct Mercury 3 Inception Inception API, OpenRouter (inception/mercury-3), Baseten, Vercel AI Gateway · Diffusion language model, 1M context, $0.20/$0.70 per million tokens. Inception’s post ‘Introducing Mercury 3’, dated 19 Oct (no time): ‘Mercury 3 is available today on the Inception API Platform and through OpenRouter, Baseten, and Vercel’. OpenRouter lists it from 16 Oct 13:45 UTC (endpoint mercury-3-20261019), before the maker’s post. Missed by the passes of 16–25 Oct: it sat in leftOut as ‘new on OpenRouter (16–17 Oct), but no page of their makers was checked’. [inceptionlabs.ai ↗](https://www.inceptionlabs.ai/blog/introducing-mercury-3) [openrouter.ai ↗](https://openrouter.ai/inception/mercury-3) - 12–17 Oct - 17Oct DeepSeek-V4.1-Flash-1017 DeepSeekopen weights[3Don the atlas: DeepSeek V4.1 Flash 1017 (Max)](https://evalmap.ai/#deepseek-v4-1-flash-1017)[jeep build by DeepSeek V4.1 Flash 1017, made 18 Oct](https://evalmap.ai/jeep/#deepseek-v41-flash-1017) DeepSeek web, app and API (model ID deepseek-flash); open weights (MIT) on Hugging Face · An update of V4.1-Flash, 763B parameters, at the same price. DeepSeek’s API updates: ‘DeepSeek V4.1 Flash has been upgraded to DeepSeek-V4.1-Flash-1017. The official web and APP models have also been updated’; @deepseek_ai, 17 Oct 08:35 UTC (16:35 Beijing): ‘DeepSeek-V4.1-Flash-1017 is here!’ The Hugging Face repository was created that day at 02:40 UTC. Not V4.1-Pro. [api-docs.deepseek.com ↗](https://api-docs.deepseek.com/updates) [huggingface.co ↗](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017) [x.com ↗](https://x.com/deepseek_ai/status/2111375640717033777) - 16Oct Beam 1.0 Reflection AIopen weights[jeep build by Beam 1.0 (max), made 18 Oct](https://evalmap.ai/jeep/#reflection-beam-max) Open weights on Hugging Face under Apache 2.0 (BF16, FP8 and NVFP4, plus the DFlash2 speculative-decoding drafter); Reflection API public beta, model ID Beam-1.0-501B-A23B; Mirror CLI (beta) · Reflection’s 16 Oct post: ‘Beam is now available’ and ‘Today, we have released Beam’s model weights on Hugging Face under an Apache 2.0 license.’ The model card gives 501.3B total and 23.4B active parameters, a 1M-token context and a 30 Jun 2026 knowledge cutoff. The Hugging Face repositories are public and not gated; they were created 7–13 Oct, before the announcement, so the row uses the blog date. Price: no maker price published; the post says only ‘It’s free to start’ in the public beta. The owner-supplied Beam 1.0 max jeep build is linked; it is not scored. [reflection.ai ↗](https://reflection.ai/blog/beam-is-available) [reflection.ai ↗](https://reflection.ai/beam-model-card) [developers.reflection.ai ↗](https://developers.reflection.ai/quickstart) [huggingface.co ↗](https://huggingface.co/collections/reflection/beam-10) [huggingface.co ↗](https://huggingface.co/reflection/Beam-1.0-501B-A23B) - 16Oct Hy-Memory-30B-A3B Tencent Hunyuanopen weights Open weights (Apache 2.0) on Hugging Face and GitHub, with the Hy Memory 2.0 framework and MemHub · The memory model of Hy Memory 2.0, a 30B mixture-of-experts with 3B active. @TencentHunyuan, 16 Oct 09:31 UTC: ‘Hy Memory 2.0 is out — open-source model, framework, and MemHub.’ The project page dates the open-source release 2026.10.16. The Hugging Face repository was created on 15 Oct, before the announcement; no public access before 16 Oct was established. [huggingface.co ↗](https://huggingface.co/tencent/Hy-Memory-30B-A3B) [memory.hunyuan.tencent.com ↗](https://memory.hunyuan.tencent.com/) [x.com ↗](https://x.com/TencentHunyuan/status/2111027329816465435) - 16Oct Nemotron Labs Dory 1.0 4B NVIDIAopen weights Open weights (OpenMDW 1.1) on Hugging Face, GGUF: nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-GGUF · A 4B Nemotron Labs model. The model card gives ‘Release Date | October 16, 2026’ and ‘GA (10/16/2026)’; the repository was created on 16 Oct at 16:25 UTC. No NVIDIA post was found. [huggingface.co ↗](https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-GGUF) - 15Oct Muse Spark Open Metaopen weights Open weights on Hugging Face (gated, Muse Model License with limited commercial terms), SageMaker, Model Garden and Foundry; API at Baseten, Fireworks, Groq, Modal, Nebius, OpenRouter and Together · Open-weight version of Muse Spark: natively multimodal, 816B total and 42B active parameters, 1M-token context, built for coding and agentic work; Meta runs it on two Apple M5 Ultra Mac Studios with MLX. Meta adds extra safety post-training for the open release. The Hugging Face repository was created on 15 Sep and partner quantisations date from 18–19 Sep, but no public access before 15 Oct was established. [research.meta.ai ↗](https://research.meta.ai/blog/muse-spark-open) [x.com ↗](https://x.com/AIatMeta/status/2110779758334386491) [x.com ↗](https://x.com/finkd/status/2110778025629347999) [huggingface.co ↗](https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B) - 15Oct GPT-Live-1.1 and GPT-Live-1.1 Quip OpenAIspeech Voice in ChatGPT, Codex and dots, rolling out to all users; API ‘coming soon’ · Successors to GPT-Live-1 and GPT-Live-1 mini (system card): new voices and accents in French, German, Hindi, Mexican Spanish, Korean and Japanese. GPT-Live-1.1 is the default voice model for Plus and higher, Quip for others. [x.com ↗](https://x.com/OpenAI/status/2110797830361436604) [deploymentsafety.openai.com ↗](https://deploymentsafety.openai.com/gpt-live-1-1) - 15Oct Kling 4.0 Kuaishouvideo kling.ai creation interface, MCP and CLI; API for enterprise and developers and 10-bit HDR ‘coming soon’ · Full launch of Kling 4.0 after early access from 30 Sep (the Flash tier from 28 Sep is a separate row): ‘KLING 4.0 Is Now Fully Available’. No API and no weights yet. [x.com ↗](https://x.com/Kling_ai/status/2110747537187709424) [kling.ai ↗](https://kling.ai/blog/kling40-kling-visual-realism-creative-control-introducing-storytelling) - 15Oct Krea 3 Kreaimage Krea app and API · Krea’s image editing model: edits in under 8 seconds at native 2K, with products and characters kept consistent. No weights. [krea.ai ↗](https://www.krea.ai/blog/introducing-krea-3) - 15Oct Nemotron 3.5 Super VL 120B-A12B NVIDIAopen weights Open weights on Hugging Face (BF16, NVFP4 and base), NVIDIA API catalogue model nvidia/nemotron-3.5-super-vl-120b-a12b, free on OpenRouter · A 120B vision-language mixture-of-experts model with 12B active parameters. Checked on 15 Oct: the BF16, NVFP4 and base repositories in NVIDIA’s Hugging Face organisation are public and not gated under NVIDIA’s own licence (the NVFP4 one created on 12 Oct, last modified on 15 Oct at 15:21 UTC); NVIDIA’s API catalogue lists it, and OpenRouter added a free endpoint served by NVIDIA at about 15:04 UTC, which answered a test request. Artificial Analysis lists it with an Intelligence Index of 26.5, without speed or price. Not on a forecast card: no prior announcement was found. [huggingface.co ↗](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16) [huggingface.co ↗](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4) [build.nvidia.com ↗](https://build.nvidia.com/nvidia/nemotron-3.5-super-vl-120b-a12b) [openrouter.ai ↗](https://openrouter.ai/nvidia/nemotron-3.5-super-vl:free) - 15Oct Nemotron 3.5 Bolt 74B NVIDIAopen weights Open weights on Hugging Face: nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB, with BF16 and GGUF repositories · A 74B mixture-of-experts model with 9B active parameters, packed into 24GB with 2-bit quantisation-aware training for local agents, dated to 15 Oct in NVIDIA’s 13 Oct post. Checked on Hugging Face on 15 Oct: the 24GB, BF16 and GGUF repositories in NVIDIA’s organisation are public and not gated under NVIDIA’s own licence; the 24GB repository was created on 7 Oct and last modified on 15 Oct at 15:38 UTC. No hosted API was found on OpenRouter or NVIDIA’s API catalogue. Artificial Analysis lists it with an Intelligence Index of 21.4, without speed or price. [huggingface.co ↗](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB) [huggingface.co ↗](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16) [blogs.nvidia.com ↗](https://blogs.nvidia.com/blog/local-ai-rtx-spark-laptops-software-updates/) - 15Oct Step 5 Preview open weights StepFunopen weights Open weights on Hugging Face: stepfun-ai/Step-5-Preview and stepfun-ai/Step-5-Preview-BF16 · StepFun said on 20 Sep, announcing Step 5 Preview on its API: ‘Open weights on Oct 15.’ Checked on Hugging Face on 15 Oct at 09:30 UTC: both repositories are public and not gated, each with 28 safetensors shards under a custom licence; created on 20 Sep (briefly public then, later private), last modified on 15 Oct about 01:28–01:32 UTC. A report that the BF16 repository returned 404 was not borne out by 09:30 UTC. The NVFP4 repository (14 Oct) is a quantisation of the same weights and is not listed separately. The API row of 20 Sep stands. [huggingface.co ↗](https://huggingface.co/stepfun-ai/Step-5-Preview) [huggingface.co ↗](https://huggingface.co/stepfun-ai/Step-5-Preview-BF16) [x.com ↗](https://x.com/StepFun_ai/status/2101510462685003786) - 15Oct FLUX 3 Image Klein Black Forest Labsimageopen weights Open weights (FLUX Kommunity licence) on Hugging Face; BFL API · BFL’s 15 Oct post: ‘Today we are releasing FLUX 3 Image Klein, a 5.6B parameter open weights model’, in base and distilled versions. The Hugging Face repository was created on 13 Oct, before the announcement; no public access before 15 Oct was established. [bfl.ai ↗](https://bfl.ai/blog/flux-3-image-klein) [huggingface.co ↗](https://huggingface.co/black-forest-labs/flux-3-image-klein) - 14Oct Grok Voice 3.0 xAIspeech xAI API, model ID grok-voice-3.0 · xAI’s post dated 14 Oct says Grok Voice 3.0 is ‘available today in the API at the same price as its predecessor’, and xAI’s release notes list grok-voice-3.0. Both pages were fetched directly; availability was documented, not independently exercised. [x.ai ↗](https://x.ai/news/grok-voice-3) [docs.x.ai ↗](https://docs.x.ai/developers/release-notes) - 14Oct Ling-3.1-flash open weights Ant Group / inclusionAIopen weights Open weights (MIT) on Hugging Face: inclusionAI/Ling-3.1-flash · About 560B total and 25B active parameters, announced on 30 Sep with the weights promised ‘soon’. The Hugging Face repository is public and not gated, with 54 safetensors shards under MIT; it was created on 13 Oct at 11:16 UTC, but when it became public was not established, so the row is dated by @AntLingAGI’s post of 14 Oct at 15:19 UTC: ‘Ling-3.1-flash is now open source’ (until 19 Oct the row gave the creation day, 13 Oct). The 13 Oct pass missed it. OpenRouter had listed the model’s API since 2 Oct. [huggingface.co ↗](https://huggingface.co/inclusionAI/Ling-3.1-flash) [x.com ↗](https://x.com/AntLingAGI/status/2110390124743970952) [recipes.vllm.ai ↗](https://recipes.vllm.ai/inclusionAI/Ling-3.1-flash) - 14Oct Granite Switch 4.1 8B and 30B IBMopen weights Open weights (Apache 2.0) on Hugging Face: ibm-granite/granite-switch-4.1-8b and granite-switch-4.1-30b · Granite 4.1 models that switch between chat, decision and Guardian adapters (aLoRA), with embedded speech. The model card gives ‘Release Date: October 14, 2026’; the repositories were created on 14 Oct at 21:23 and 21:38 UTC; IBM’s Hugging Face blog post followed on 15 Oct. [huggingface.co ↗](https://huggingface.co/ibm-granite/granite-switch-4.1-8b) [huggingface.co ↗](https://huggingface.co/ibm-granite/granite-switch-4.1-30b) [huggingface.co ↗](https://huggingface.co/blog/ibm-granite/granite-switch-4-1) - 13Oct Bulbul V4 Flash Sarvam AIspeech Sarvam API (bulbul:v4-flash), playground and Content Studio · Low-latency text-to-speech for real-time voice agents in Indian languages, distilled from Bulbul V4; Sarvam cites under 250 ms to first audio, 83 voices and 11 languages. No weights. [sarvam.ai ↗](https://www.sarvam.ai/blogs/bulbul-v4-flash) [docs.sarvam.ai ↗](https://docs.sarvam.ai/api/getting-started/models/bulbul) - 13Oct Gemini 4 Argon Google DeepMind[3Don the atlas: Gemini 4 Argon (High)](https://evalmap.ai/#gemini-4-argon)[jeep build by Gemini 4 Argon (high), made 13 Oct](https://evalmap.ai/jeep/#gemini4-argon-high)[jeep build by Gemini 4 Argon (max), made 14 Oct](https://evalmap.ai/jeep/#gemini4-argon-max)[jeep build by Gemini 4 Argon (max, cli2027), made 14 Oct](https://evalmap.ai/jeep/#gemini4-argon-max-cli2027) Gemini API paid tier in Google AI Studio and Android Studio, model ID gemini-4-argon (stable); Google AI Ultra subscribers in AI Studio and Google Antigravity · gemini-4-argon: announced on 30 Sep with restricted access through the Fairwind programme, it opened to developers on 13 Oct. Google’s developer post of that day: ‘Starting today, developers can build with Gemini 4 Argon’ through the paid tier of the Gemini API; the model page lists it as stable, last updated 13 Oct. Introductory pricing $2/$10 per million input/output tokens, later $4/$20. Availability on Vertex AI was not verified. Listed although it was out in restricted preview, because that preview was never public. The three owner-supplied Argon jeep builds (high, max, and max in the owner’s cli2027 CLI) are linked; their effort and CLI are as recorded on the jeep page. [blog.google ↗](https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-4-argon/) [blog.google ↗](https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/) [ai.google.dev ↗](https://ai.google.dev/gemini-api/docs/models/gemini-4-argon) - 13Oct LFM2.5-24B-A2B Liquid AIopen weights Open weights (LFM licence) on Hugging Face, instruct and Base checkpoints · A 24B-parameter mixture-of-experts model with about 2B active per token; Liquid’s blog of 13 Oct: ‘Today, we release’ it with its Base checkpoint. The blog says 2B active, the model card about 2.45B. The Hugging Face repositories were created 9–12 Oct, before the announcement. [liquid.ai ↗](https://www.liquid.ai/blog/lfm2-5-24b-a2b) [huggingface.co ↗](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B) [huggingface.co ↗](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-Base) - 13Oct FastH3-Omni FastVideo (Hao AI Lab)video Preview API at Reactor and Nuva Lab; weights promised for 20 Oct · FastVideo’s post-train of MiniMax’s H3 with synchronised audio, made with Nuva Lab and Reactor; the maker is the team that post-trained it, as with fal’s rows. @haoailab, 13 Oct 17:48 UTC: ‘Please checkout @reactorworld’s API access, available today!’ and ‘The final FastH3-Omni model will be fully open sourced on October 20’. No weights yet. [nuvalab.ai ↗](https://nuvalab.ai/fasth3/) [x.com ↗](https://x.com/haoailab/status/2110065113252483212) - 12Oct Muse Wonder and Muse Wonder Full (Watermelon) Meta[jeep build by Muse Wonder Full (max), made 12 Oct](https://evalmap.ai/jeep/#muse-wonder-full-max) Muse Wonder: Meta Model API and Muse Code; Muse Wonder Full: Muse Code subscribers only · Meta’s 12 October post: ‘Muse Wonder is available today for developers and builders through the Meta Model API and Muse Code while Muse Wonder Full is available today for Muse Code subscribers.’ No weights. Meta’s post does not use the codename; CNBC reports Alexandr Wang saying Meta ‘developed Muse Wonder, codenamed Watermelon’, so the row closes the Watermelon forecast. The owner-supplied Muse Wonder Full jeep build is linked; it is not scored and its CLI is not recorded. [about.fb.com ↗](https://about.fb.com/news/2026/10/introducing-muse-wonder-models/) [cnbc.com ↗](https://www.cnbc.com/2026/10/12/meta-muse-wonder-ai-model-agent.html) - 12Oct MiniCPM-V 4.7 (1B and 35B-A3B) OpenBMBopen weights Open weights (Apache 2.0) on Hugging Face: MiniCPM-V-4.7-1B and MiniCPM-V-4.7-35B-A3B, with quantised builds · Vision-language models. @OpenBMB announced them on 12 Oct and the GitHub README dates the release 12 Oct; the Hugging Face repositories, created privately on 6–7 Oct, are public under Apache 2.0. llama.cpp, vLLM and SGLang support was prepared from 25 Sep. [x.com ↗](https://x.com/OpenBMB/status/2109694573408866351) [github.com ↗](https://github.com/OpenBMB/MiniCPM-V) [huggingface.co ↗](https://huggingface.co/openbmb/MiniCPM-V-4.7-1B) [huggingface.co ↗](https://huggingface.co/openbmb/MiniCPM-V-4.7-35B-A3B) - 12Oct GLM-Legal Z.ai Z.ai API, access by application · A legal model built on GLM-5.3-Flash. @Zai_org, 12 Oct 16:10 UTC: ‘Introducing GLM-Legal. Built on GLM-5.3-Flash, GLM-Legal matches frontier models on mainstream legal benchmarks.’ Access is through an application form; no weights. Z.ai’s blog page renders only with JavaScript and could not be read directly, so the row is dated by the post. [z.ai ↗](https://z.ai/blog/glm-legal) [x.com ↗](https://x.com/Zai_org/status/2109678174468534511) - 5–8 Oct - 8Oct Grok Imagine Video 1.5 Lite xAIvideo Grok Imagine API (xAI API), text-to-video and image-to-video · A cheaper video model beside Grok Imagine Video 1.5. @imagine, xAI’s Grok Imagine account, 8 Oct 19:35 UTC: ‘Video 1.5 Lite is live in the Grok Imagine API. The new workhorse for text-to-video and image-to-video’, at $0.02 a second at 480p, $0.03 at 720p and $0.14 at 1080p; xAI’s model page, read on 23 Oct, gives $0.02 a second. Whether it is a separate checkpoint or a faster tier of Video 1.5 was not established. Deltaday dated it 22 Oct in error; the passes of 8–22 Oct missed it. [docs.x.ai ↗](https://docs.x.ai/developers/models/grok-imagine-video-1.5-lite) [x.com ↗](https://x.com/imagine/status/2108280250673352929) - 7Oct GPT-6 Sol and GPT-6 Luna (October, ChatGPT) OpenAI ChatGPT Chat: Plus, Pro, Business and Enterprise from 7 Oct (Enterprise subject to admin settings); Free and Go from 8 Oct · OpenAI’s 7 October post brings ‘a new GPT-6 model’ to ChatGPT’s Chat tab with Intelligent UI — answers composed of interactive components — and answers that begin while the model is still thinking. Sol powers the paid tiers, Luna Free and Go; OpenAI’s system card names these the October versions, distinct from the September versions that remain in Codex and ChatGPT Work. Neither post names an API model ID. The Free and Go rollout was announced for 8 October; its completion was not checked. [openai.com ↗](https://openai.com/index/gpt-6-for-everyone/) [deploymentsafety.openai.com ↗](https://deploymentsafety.openai.com/gpt-6-october) [help.openai.com ↗](https://help.openai.com/en/articles/6825453-chatgpt-release-notes) - 7Oct Claude Haiku 5.5 Anthropic[jeep build by Claude Haiku 5.5, made 7 Oct](https://evalmap.ai/jeep/#haiku55) API on the Claude Platform, Amazon Web Services, Google Cloud, Microsoft Azure; model ID claude-haiku-5-5 · claude-haiku-5-5: Anthropic’s 7 October announcement calls it its cheapest and fastest small model; the first Haiku with an adjustable effort setting. $0.10/$0.50 per million input/output tokens for prompts up to 100K ($0.50/$2.50 over), cache reads $0.01. Anthropic puts it at 39.2% on Terminal-Bench 4.0, against 0.0% for Haiku 4.5 and 70.6% for Sonnet 5.5. The same announcement halves Sonnet 5.5’s cache-read price to $0.10. The owner confirmed this model for the Highland Rally build; its effort and CLI are not recorded. This targeted source check does not refresh the other forecast cards. [anthropic.com ↗](https://www.anthropic.com/claude-haiku-5-5) [platform.claude.com ↗](https://platform.claude.com/docs/en/models/haiku-5-5/overview) - 7Oct Glyph Cluster Undisclosed (stealth) Free stealth API on Vercel AI Gateway (stealth/glyph-cluster) · Maker not disclosed: Vercel calls it ‘an anonymous reasoning model in early access’ whose prompts and outputs are retained by the provider. Text input, a 256K context and reasoning up to xhigh, per a third-party stealth tracker. Vercel’s model list gives it a release date of 7 Oct, and its page was first archived at 18:26 UTC that day; it is still listed on 25 Oct. The tracker argues it is a Microsoft MAI model; Microsoft has not said. Earlier passes missed it. [vercel.com ↗](https://vercel.com/ai-gateway/models/glyph-cluster) [stealthmodels.com ↗](https://stealthmodels.com/glyph-cluster) - 6Oct Gemini Nano Banana 2.1 Googleimage GA image generation and conversational editing in the Gemini API; model ID gemini-nano-banana-2.1 · Google’s dated 6 October changelog documents GA availability of this named model, described as an update to Nano Banana 2. The maker reports improved editing, visual quality and text rendering across 1K, 2K and 4K output. Availability was documented, not independently exercised. Earliest public-access chronology and independent trained-checkpoint identity were not established; released public weights were not verified. The previous gemini-3.1-flash-image is deprecated, with no shutdown date announced in this release note. This targeted 7 October source check does not refresh the weekly forecast. [aistudio.google.com ↗](https://aistudio.google.com/docs/changelog) [aistudio.google.com ↗](https://aistudio.google.com/docs/models/gemini-nano-banana-2.1) - 6Oct Mistral Large 4 Preview Mistral AI[3Don the atlas: Mistral Large 4 Preview](https://evalmap.ai/#mistral-large-4-preview)[jeep build by Mistral Large 4 Preview, made 6 Oct](https://evalmap.ai/jeep/#mistral-large4-preview) Public preview API on Mistral Studio; model IDs mistral-large-4 and mistral-large-4-0 · Mistral’s official 6 October announcement and model documentation establish public preview access. A natively multimodal MoE: the documentation lists 1.05T total parameters, 49B active and a 1.6B vision encoder, with a 1M context window. The maker promises weights by the end of October; they are not treated as released here, and a released-weight licence was not verified. API availability was documented, not independently exercised in this check. The owner confirmed this model name for the Red Rock Rally build; its CLI and effort settings are not recorded. This targeted source check does not refresh the other forecast cards. [mistral.ai ↗](https://mistral.ai/news/mistral-large-4/) [docs.mistral.ai ↗](https://docs.mistral.ai/models/mistral-large-4-0) - 5Oct Amazon Nova 2.5 Sonic Amazonspeech Amazon Bedrock · Amazon’s speech-to-speech model for real-time voice agents, after Nova 2 Sonic: better reasoning, instruction following and tool calling, lower latency, voices in seven languages and a 256K context. AWS, ‘Posted on: Oct 5, 2026’: ‘Today, we announce the general availability of Amazon Nova 2.5 Sonic, our latest speech-to-speech model’. No earlier preview was found. No weights. Earlier passes missed it. [aws.amazon.com ↗](https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-nova-2.5-sonic/) - 28 Sep–3 Oct - 3Oct Kolibri-1 Aleph Alphaopen weights[jeep build failed — Kolibri-1 made no game, 5 Oct](https://evalmap.ai/jeep/#kolibri-1-oc2) Public original FP8 weights on Hugging Face, Apache-2.0; ungated repository · Aleph Alpha’s Kolibri: a maker-trained MoE language model with 78.1B total parameters and about 3.46B active per token. The official blog and model card explicitly date the release to 3 October; repository creation on 2 October is not the release date. The public repository lists 32 safetensors weight shards. The card supports up to 1M tokens and recommends at most 262,144 for efficiency and complex tasks. Weights and licence were documented; no inference test or full weight download was made in this check. Kolibri Origin is a pretraining research stage, not a separate public release. [aleph-alpha.com ↗](https://aleph-alpha.com/en/blog/kolibri-has-landed-a-sovereign-open-weight-model/) [huggingface.co ↗](https://huggingface.co/Aleph-Alpha/Kolibri-1) [huggingface.co ↗](https://huggingface.co/api/models/Aleph-Alpha/Kolibri-1) - 1Oct MAI-Transcribe-2-Streaming Microsoft AIspeech Microsoft Foundry, MAI Playground, Vercel and Azure Voice Live; Azure public preview · Named real-time speech-to-text model supporting 60 languages, with Realtime API and Azure Speech SDK access. Microsoft’s introductory price is $0.54 per audio hour through the end of 2026. A streaming variant of the existing MAI-Transcribe-2 line; a distinct set of trained weights is not established by the announcement. LiveKit is coming soon, with no date; no open weights announced. API access was documented, not tested in this check. [microsoft.ai ↗](https://microsoft.ai/news/our-first-streaming-transcription-model/) [learn.microsoft.com ↗](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/mai-transcribe-2-streaming) - 1Oct MAI-Voice-2.1 and MAI-Voice-2.1-Flash Microsoft AIspeech OpenRouter, Microsoft Foundry, MAI Playground, Vercel and Azure Voice Live; Azure public preview · Multilingual text-to-speech models: Voice 2.1 supports 23 languages and 26 locales; Flash is the lower-latency variant. Microsoft lists $22 and $15 per million characters respectively. Independent trained weights for Flash versus Voice 2.1 are not established by the announcement. Instant voice cloning is gated; LiveKit is coming soon, with no date. No open weights announced; API access was documented, not tested in this check. [microsoft.ai ↗](https://microsoft.ai/news/our-first-streaming-transcription-model/) [learn.microsoft.com ↗](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/mai-voices) - 1Oct Pareto 26.10 Preview Unbiased[jeep build by Pareto 26.10 Preview, made 3 Oct](https://evalmap.ai/jeep/#pareto-2610-preview) API: Unbiased (model string pareto, now this release) and OpenRouter (unbiased/pareto-26.10-preview) · The next Pareto, again a blend of several models rather than one set of weights, with text and image input. 1M context and up to 131K output; $0.80/$3.20 per million input/output tokens on OpenRouter, which listed it at 14:07 UTC. Unbiased’s preliminary results, which it says may change: 92.4% on GPQA Diamond, 49.9% on Humanity’s Last Exam (text only), 69.9% on DeepSWE v1.1 and 50.8% on Terminal-Bench 4.0. [unbiased.ai ↗](https://unbiased.ai/changelog) [unbiased.ai ↗](https://unbiased.ai/model-card/) [openrouter.ai ↗](https://openrouter.ai/unbiased/pareto-26.10-preview) - 1Oct FLUX 3 Image Black Forest Labsimage BFL API (one endpoint for generation and editing); commercial weights for companies running image generation at scale · Pixel-exact local edits, bounding boxes in the prompt, up to ten references, up to 4K output. Per image: $0.041 at 768sq, $0.048 at 1k, $0.100 at 2k, $0.607 at 4k. BFL says an open-weights version is coming in the coming weeks, with no date. [x.com ↗](https://x.com/bfl_ai/status/2105734605621825738) [bfl.ai ↗](https://bfl.ai/models/flux-3-image) [docs.bfl.ai ↗](https://docs.bfl.ai/release-notes.md) - 30Sep HeyGen Video 1 HeyGenvideo HeyGen API, OpenRouter and partner integrations · Text-, image- and reference-to-video with generated audio, based on MiniMax H3 with HeyGen post-training. Introductory API price $0.01 per second through October; no open weights. [x.com ↗](https://x.com/HeyGen/status/2105352603542720675) [developers.heygen.com ↗](https://developers.heygen.com/heygen-video-1.0-catalog) [openrouter.ai ↗](https://openrouter.ai/heygen/heygen-video-1) - 30Sep Ideogram 4.5 Ideogramimage In Ideogram, in the API and with launch partners · Built for multi-turn editing: Ideogram says it avoids the artifacts, pixel shifts and color changes that build up over repeated edits. The comparison with GPT-Image-2.5 Sunburst and Nano Banana is Ideogram's own. Open weights 'soon', no date. [x.com ↗](https://x.com/ideogram_ai/status/2105327223431737780) [ideogram.ai ↗](https://ideogram.ai/models/4.5/) - 29Sep GPT-6.1 Sol OpenAI[3Don the atlas: GPT-6.1 Sol (max)](https://evalmap.ai/#gpt-6-1-sol)[jeep build by GPT-6.1 Sol, made 29 Sep](https://evalmap.ai/jeep/#gpt61sol-xhigh) API (Responses, Chat Completions without tools, Batch) · gpt-6.1-sol, released on DevDay: ‘near-Astra performance’ for complex coding, computer use and professional work at a lower cost. Text and image in, text out; 1.05M context (922K of it input), 128K output, knowledge to 30 Apr 2026; effort low to max, medium the default, with no none or minimal. $2/$10 per million input/output tokens for prompts up to 272K, cached input at $0.10 (GPT-6 Sol’s is $0.20) and cache writes at $2.50; multi-agent in beta in the Responses API. The same changelog day adds an Ultrafast mode to GPT-6 Astra, a setting and not a model. [developers.openai.com ↗](https://developers.openai.com/api/docs/changelog) [developers.openai.com ↗](https://developers.openai.com/api/docs/models/gpt-6.1-sol) - 28Sep Kling 4.0 Flash Kuaishouvideo Kling app, early access for a limited group of users · The fast tier of Kuaishou’s new Kling 4.0 video generation, opened on 28 Sep ahead of the full Kling 4.0, which Kuaishou says ‘will officially launch in October’. Kling puts Flash at text- and image-to-video with omni reference, 3–20 s clips at 720p; the full model adds 4K, 10-bit HDR, stereo audio and up to 10 keyframes. No API and no weights yet. [kling.ai ↗](https://kling.ai/release-note/release-notes/Kling_4) [kling.ai ↗](https://kling.ai/release-note/release-history) - 28Sep Eleven v4 and Eleven v4 Turbo ElevenLabsspeech API (ElevenAPI), ElevenAgents and ElevenCreative · ElevenLabs’ new text-to-speech generation on a new architecture: v4 for expressive delivery (tone, pacing and emotion from context, audio tags, better IPA pronunciation, multi-speaker dialogue), v4 Turbo for low-latency agents. ElevenLabs cites first place on Artificial Analysis’ speech arena and about 75% preference in its own blind tests. No weights. [elevenlabs.io ↗](https://elevenlabs.io/blog/eleven-v4) [elevenlabs.io ↗](https://elevenlabs.io/docs/overview/capabilities/text-to-speech/eleven-v4) - 28Sep Claude Sonnet 5.5 Anthropic[3Don the atlas: Claude Sonnet 5.5 (max)](https://evalmap.ai/#claude-sonnet-5-5)[jeep build by Claude Sonnet 5.5, made 28 Sep](https://evalmap.ai/jeep/#sonnet55-xhigh) API, Claude apps, Claude Code, Claude Platform on AWS, Bedrock, Google Cloud, Microsoft Foundry · claude-sonnet-5-5: 1M context, 128K output, $2/$10 per million input/output tokens with cache reads at $0.20, the same as Sonnet 5; effort low to max, with high the default on the Claude Platform and medium in Claude Code and the apps. Anthropic puts it at 70.6% on Terminal-Bench 4.0, against 10.3% for Sonnet 5 and 66.4% for Opus 5.5, and says it runs 30%+ faster than Sonnet 5 at up to 30% lower cost. Haiku 5.5, announced with it on 22 Sep, is still to follow ‘in the coming weeks’. [anthropic.com ↗](https://www.anthropic.com/claude-sonnet-5-5) [platform.claude.com ↗](https://platform.claude.com/docs/en/models/sonnet-5-5/overview) - 21–27 Sep - 27Sep Naive-N0.5-Flash NaiveAIopen weights Open weights (MIT) on Hugging Face with inference code; an API is announced, not yet live · A 309B mixture-of-experts model with 15.5B active parameters for coding and AI research work, with a native 1M-token context and no full-attention layers (sliding-window plus DeepSeek-style sparse attention). NaiveAI says AI agents designed much of its architecture and training system. Announced API price: $0.10 in and $0.40 out per million tokens. [naive.ai ↗](https://naive.ai/en/research/) [huggingface.co ↗](https://huggingface.co/NaiveAI/Naive-N0.5-Flash) [github.com ↗](https://github.com/NaiveAI-Labs/Naive-N0.5-Flash) - 27Sep MiMo-V2.6-Pro-MOPD and MiMo-V2.6-Flash-MOPD Xiaomiopen weights Open weights (MIT) on Hugging Face; the same checkpoints have served the API under the unchanged names mimo-v2.6-pro and mimo-v2.6-flash since 24 Sep, 22:00 UTC · Dated update to MiMo-V2.6 that fixes repeated tool calls in agent harnesses: the final MOPD (multi-teacher on-policy distillation) run was rolled back five steps and continued with a teacher trained only to stop repeating. Xiaomi puts the cost of the fix at about $90,000 and says the broader benchmarks held steady. The API switched on 25 Sep at 06:00 Beijing time; the weights and the write-up followed on 27 Sep, with a quota reset for MiMo Desktop users. [mimo.xiaomi.com ↗](https://mimo.xiaomi.com/blog/mimo-v2-6-tool-call-repetition) [huggingface.co ↗](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-MOPD) [huggingface.co ↗](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD) - 27Sep MiniMax-M3.1-Flash-Preview MiniMax[jeep build by MiniMax-M3.1-Flash-Preview, made 27 Sep](https://evalmap.ai/jeep/#minimax-m31-flash-preview-max-mcode) Preview in MiniMax Code and the Token Plan (subscription key); not on the pay-as-you-go API · MiniMax’s newest M-series model, as a preview: a 1M-token context, text, image and video input, and thinking that cannot be turned off, with effort from low to max (max by default). For now only in MiniMax Code and the Token Plan: the pay-as-you-go price list does not carry it, and there are no weights on Hugging Face. Announced by @MiniMaxAgent, the account of MiniMax’s agent and Code products, at 05:24 UTC; @MiniMax_AI followed at 17:06 UTC: ‘MiniMax-M3.1 Flash Preview is now live on the Token Plan!’ [x.com ↗](https://x.com/MiniMaxAgent/status/2104079819881517400) [platform.minimax.io ↗](https://platform.minimax.io/docs/guides/text-generation) [platform.minimax.io ↗](https://platform.minimax.io/docs/guides/models-intro) [x.com ↗](https://x.com/MiniMax_AI/status/2104256406786547800) - 25Sep Pixel Canary Callstack[jeep build by Pixel Canary, made 28 Sep](https://evalmap.ai/jeep/#pixel-canary-xhigh) Free stealth API: Vercel AI Gateway (stealth/pixel-canary), then Cline and Command Code · Callstack’s Apex, released anonymously: Callstack wrote on 1 Oct that ‘we released Apex anonymously ... under the name Pixel Canary’ and that it has ‘since moved to Qwen’; Vercel now lists Apex under Callstack as callstack/apex. Vercel lists it from 25 Sep with a 262K context, up to 131K output, image input and reasoning effort none, low, medium or xhigh; free while in stealth, and prompts may be kept for training. Vercel says it ties GPT-6 Astra (high) on the Next.js evals, 28 of 31 tasks. @cline and @CommandCodeAI added it early on 26 Sep UTC; @MrAhmadAwais answered Command Code’s post at 02:04 UTC: ‘super slow. working with upstream for fix.’ Vercel withdrew it on 1 Oct: its model page is gone and the gateway’s model list no longer carries it. stealthmodels.com had read its tokenizer and 262,144-token window as Qwen’s. Whether the stealth checkpoint and today’s Apex are the same weights is not stated. [vercel.com ↗](https://vercel.com/changelog/pixel-canary-is-now-available-in-stealth-for-free-on-ai-gateway) [vercel.com ↗](https://vercel.com/ai-gateway/models/pixel-canary) [nextjs.org ↗](https://nextjs.org/evals) [x.com ↗](https://x.com/cline/status/2103636639038026093) [x.com ↗](https://x.com/CommandCodeAI/status/2103656933630812650) [x.com ↗](https://x.com/MrAhmadAwais/status/2103667071527891124) [stealthmodels.com ↗](https://stealthmodels.com/pixel-canary/) [callstack.com ↗](https://www.callstack.com/blog/apex-agetic-coding-for-mobile-and-web-spcialied-in-react) [vercel.com ↗](https://vercel.com/ai-gateway/models/apex) - 25Sep LongCat-2.5-Preview Meituan[jeep build by LongCat-2.5-Preview, made 26 Sep](https://evalmap.ai/jeep/#longcat25-preview-oc2) API (LongCat API Platform) and LongCat chat · 1.6T parameters with ~48B active and a 1M-token context; natively multimodal, adding image understanding to the LongCat line, and aimed at long-horizon agent work and coding. A preview, with no open weights so far: the Hugging Face organisation’s newest model is LongCat-2.0 from July. [longcat.chat ↗](https://longcat.chat/platform/docs/ChangeLog.html) [x.com ↗](https://x.com/Meituan_LongCat/status/2103488918788411728) [huggingface.co ↗](https://huggingface.co/meituan-longcat) - 25Sep Perceptron Mk1.5 Perceptron API (Perceptron, OpenRouter) · Perceptron’s successor to Mk1: image, video and now audio input in one chat-completions model, with reasoning effort from none to high, function calling and timestamped video tracking; a 36,864-token context. The same day Perceptron retired its Isaac 0.1 and 0.2 models from the API. [docs.perceptron.inc ↗](https://docs.perceptron.inc/perceptron-mk1.5/changelog) [docs.perceptron.inc ↗](https://docs.perceptron.inc/perceptron-mk1.5) [openrouter.ai ↗](https://openrouter.ai/perceptron/perceptron-mk1.5) - 23Sep Space Bunny Alpha Undisclosed (stealth)[jeep build by Space Bunny Alpha, made 23 Sep](https://evalmap.ai/jeep/#space-bunny-alpha-max) Free stealth API: OpenRouter (stealth/space-bunny-alpha) and OpenCode Zen and Go (space-bunny-free) · Maker not disclosed. 1M context and up to 524K output; text, image and video input; reasoning always on, with effort from low to max. OpenCode added it on 23 Sep at 13:58 UTC and OpenRouter listed it at 14:48; at 15:18 UTC OpenRouter took it offline while the provider fixed an issue, and it was back at 17:29. On 29 Sep @opencode wrote that it ‘got an upgrade over the weekend and there's another one coming soon’ and kept it free to 5 Oct; OpenRouter lists it as going away on 5 Oct. Testers say it calls itself a MiniMax model and that its text tokenizer matches MiniMax M3 (@AiBattle_ and @cheatyyyy, 23 Sep); MiniMax has not said, and a tokenizer match has misled before. [openrouter.ai ↗](https://openrouter.ai/stealth/space-bunny-alpha) [opencode.ai ↗](https://opencode.ai/docs/zen/) [github.com ↗](https://github.com/anomalyco/models.dev/blob/dev/providers/opencode/models/space-bunny-free.toml) [github.com ↗](https://github.com/anomalyco/opencode/pull/50572) [x.com ↗](https://x.com/OpenRouter/status/2102812623410733069) [x.com ↗](https://x.com/opencode/status/2104987000004821128) [x.com ↗](https://x.com/AiBattle_/status/2102775779054502289) [x.com ↗](https://x.com/cheatyyyy/status/2102781392199565683) - 23Sep Qwen3.8-Max-Prime Alibaba Qwen[jeep build by Qwen3.8 Max Prime, made 25 Sep](https://evalmap.ai/jeep/#qwen38-max-prime) API (Alibaba Cloud Model Studio, qwen3.8-max-prime, in International and China (Beijing)) and OpenRouter (qwen/qwen3.8-max-prime) · Qwen3.8-Max, the same 2.4T-parameter MoE, served in Alibaba’s Prime (fast) mode, which Alibaba puts at 1.5 to 2 times the output TPS of the standard API. 1M context, 128K output and up to 256K of chain of thought; text, image and video in. $4/$12 per million input/output tokens in International, with implicit cache reads at $0.50, the same as on OpenRouter; $3.301/$9.902 in China (Beijing), twice qwen3.8-max there. OpenRouter listed it on 23 Sep as qwen3.8-max-prime-20260923. EvalMap timed it on 25 Sep at a median 109 tokens/s against 49 for the 0902 snapshot, through the same client and Alibaba endpoint: 2.2 times, above Alibaba’s own claim. Artificial Analysis has not evaluated it, so the atlas notes it on Qwen3.8 Max (0902) rather than plotting it. [alibabacloud.com ↗](https://www.alibabacloud.com/help/en/model-studio/model-pricing) [alibabacloud.com ↗](https://www.alibabacloud.com/help/en/model-studio/prime-mode) [openrouter.ai ↗](https://openrouter.ai/qwen/qwen3.8-max-prime) [x.com ↗](https://x.com/OpenRouter/status/2102875655004385401) - 23Sep GLM-5.3-Prime Alibaba Cloud[jeep build failed — GLM-5.3-Prime made no game, 25 Sep](https://evalmap.ai/jeep/#glm53-prime-max-oc2)[jeep build, max effort by GLM-5.3-Prime, made 27 Sep](https://evalmap.ai/jeep/#glm53-prime-max-oc2-r2)[jeep build by GLM-5.3-Prime, made 8 Oct](https://evalmap.ai/jeep/#glm53-prime-g22) API: Alibaba Cloud Model Studio (glm-5.3-prime, in China (Beijing) and Singapore) and OpenRouter (z-ai/glm-5.3-prime, served by Alibaba as glm-5.3-prime-20260921) · Z.ai’s GLM-5.3 served in Alibaba’s Prime (fast) mode, the tier that also carries Qwen3.8-Max-Prime; Alibaba puts Prime at 1.5 to 2 times the output speed of the standard API. 1M context, 128K output, text only; reasoning on, low/high/max. $2.80/$8.80 per million input/output tokens on OpenRouter, twice GLM-5.3’s output price; ¥16/¥56 in Beijing. OpenRouter listed it on 23 Sep; Z.ai has not announced it. Not timed here. [help.aliyun.com ↗](https://help.aliyun.com/zh/model-studio/prime-mode) [openrouter.ai ↗](https://openrouter.ai/z-ai/glm-5.3-prime) - 23Sep Ember-1 Fireworks API: Fireworks serverless, as a research preview; OpenRouter (fireworks/ember-1) from 24 Sep · A specialised reasoning model from Fireworks Research, post-trained on Kimi K3 to cut unneeded reasoning: Fireworks says it keeps Kimi K3’s quality with about 40% fewer tokens, the first of a series of specialised models. 1M context; text and image in. $3/$15 per million input/output tokens on OpenRouter. No weights. [fireworks.ai ↗](https://fireworks.ai/blog/ember-1) [openrouter.ai ↗](https://openrouter.ai/fireworks/ember-1) - 23Sep Aion 3.5 and Aion 3.5 Mini AionLabs API: AionLabs, and OpenRouter (aion-labs/aion-3.5 and aion-3.5-mini, served by AionLabs as the 20260923 snapshot) · Role-play and storytelling systems in which several specialised models built on the GLM family write each reply together, sold as one model (like Fugu and Pareto). 262K context, 32K output, text only. $3/$6 per million input/output tokens for Aion 3.5 and $0.70/$1.40 for Mini. Dated by the snapshot id and the OpenRouter listing; AionLabs’ own site has no announcement page. [openrouter.ai ↗](https://openrouter.ai/aion-labs/aion-3.5) [openrouter.ai ↗](https://openrouter.ai/aion-labs/aion-3.5-mini) [aionlabs.ai ↗](https://www.aionlabs.ai/) - 23Sep Nemotron 3 Diarization NVIDIAspeechopen weights Open weights (OpenMDW-1.1) on Hugging Face (nvidia/Nemotron-3-Diarization); NeMo and Transformers · Speaker diarization (who spoke when): about 100M parameters, streaming and offline, up to eight speakers, built on Sortformer with an arrival-order speaker cache. NVIDIA also released NV-Reason-CT that day, a CT-scan reasoning model fine-tuned from Qwen3.5-4B, not listed here as a fine-tune. [huggingface.co ↗](https://huggingface.co/nvidia/Nemotron-3-Diarization) [huggingface.co ↗](https://huggingface.co/blog/nvidia/nemotron-diarization) [x.com ↗](https://x.com/NVIDIAAI/status/2102775666366435450) - 22Sep Hy Image 3.5 Preview Tencentimage Preview API (Tencent Cloud TokenHub, hy-image-v3.5-preview) and Tencent apps · Text-to-image, reference-based generation and multi-turn editing over a chat protocol; the API guide allows sizes up to 4096×4096. Tencent reports a 30% higher human-evaluation win rate than Hy Image 3.0; $0.024 per image. [intl.cloud.tencent.com ↗](https://intl.cloud.tencent.com/document/product/1300/83708) [x.com ↗](https://x.com/TencentHunyuan/status/2102226552310419473) - 22Sep Solar Mini 4 Upstage[jeep build failed — Solar Mini 4 made no game, 24 Sep](https://evalmap.ai/jeep/#solar-mini4-max-oc2)[jeep build failed — Solar Mini 4 made no game, 27 Sep](https://evalmap.ai/jeep/#solar-mini4-max-oc2-r2) API (Upstage Console, solar-mini4-260922, alias solar-mini4); on OpenRouter from 23 Sep · 35B-total, 3B-active MoE for agentic use; 512K context and up to 128K output tokens; Korean, English and Japanese. Upstage’s model page dates the release 22 Sep; no weights. [console.upstage.ai ↗](https://console.upstage.ai/docs/models/solar-mini-4) [openrouter.ai ↗](https://openrouter.ai/upstage/solar-mini4) - 22Sep Qwen-Audio-3.1-TTS-Next, Qwen-Audio-3.1-TTS-Flash and Qwen-Audio-3.1-ASR-Flash Alibaba Qwenspeech API (Model Studio: TTS-Next and TTS-Flash in China (Beijing), ASR-Flash in Beijing and Singapore, with -filetrans and -streaming variants) · Unveiled at Apsara on 22 Sep as the rest of the Qwen-Audio-3.1 suite. TTS-Next generates speech, sound effects and ambience in one pass from a script and up to three reference clips (non-streaming, up to 4 minutes for podcasts); TTS-Flash is the streaming synthesis model; ASR-Flash transcribes many languages and Chinese dialects. Their model pages are dated 22 Sep; a check that day had not found TTS-Next in Model Studio’s speech list, and none of the three is on its list of new models. [alibabacloud.com ↗](https://www.alibabacloud.com/help/en/model-studio/qwen-audio-3-1-tts-next) [help.aliyun.com ↗](https://help.aliyun.com/zh/model-studio/qwen-audio-3-1-tts-flash) [alibabacloud.com ↗](https://www.alibabacloud.com/help/en/model-studio/qwen-audio-3-1-asr-flash) [alibabacloud.com ↗](https://www.alibabacloud.com/press-room/alibaba-unveils-roadmap-on-full-stack-ai-strategy) - 22Sep Claude Opus 5.5 Anthropic[3Don the atlas: Claude Opus 5.5 (max)](https://evalmap.ai/#claude-opus-5-5)[jeep build by Claude Opus 5.5, made 22 Sep](https://evalmap.ai/jeep/#opus55-xhigh-cc) API, Claude apps, Claude Code, Claude Platform on AWS, Bedrock, Google Cloud, Microsoft Foundry · claude-opus-5-5: 1M context, 128K output, $4/$20 per million input/output tokens with cache reads at $0.20, effort low to max with medium the default. Anthropic puts it at 66.4% on Terminal-Bench 4.0 and says it costs about 40% less to run than Opus 5. Out on the day the forecast named, first as 'Opus 5.2 or 5.5'. [anthropic.com ↗](https://www.anthropic.com/claude-opus-5-5) [platform.claude.com ↗](https://platform.claude.com/docs/en/models/opus-5-5/overview) [platform.claude.com ↗](https://platform.claude.com/docs/en/about-claude/models/overview) - 22Sep GPT-6 Sol and GPT-6 Luna OpenAI[3Don the atlas: GPT-6 Sol (max)](https://evalmap.ai/#gpt-6-sol)[jeep build by GPT-6 Sol, made 22 Sep](https://evalmap.ai/jeep/#gpt6sol-high-cx)[jeep build, max effort by GPT-6 Luna, made 22 Sep](https://evalmap.ai/jeep/#gpt6luna-max-cx)[jeep build, max effort by GPT-6 Luna, made 26 Sep](https://evalmap.ai/jeep/#gpt6luna-max-fb) API (Responses and Chat Completions) · gpt-6-sol and gpt-6-luna: text and image in, text out; 1.05M context, 128K output, effort none to max. Sol $2/$10 per million input/output tokens with cached input at $0.20; Luna $0.10/$0.50 with cached input at $0.01, both for prompts up to 272K tokens. The launch OpenAI had put on Tuesday. [developers.openai.com ↗](https://developers.openai.com/api/docs/changelog) [developers.openai.com ↗](https://developers.openai.com/api/docs/models/gpt-6-sol) [developers.openai.com ↗](https://developers.openai.com/api/docs/models/gpt-6-luna) - 22Sep Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS Googlespeech API (Gemini API, with a new Voices endpoint), Google AI Studio, Gemini Notebook and Google Vids; on OpenRouter from 23 Sep · GA text-to-speech: Flash is the creative tier, Flash-Lite the fast one, built to replace gemini-3.1-flash-tts-preview. Voice design from a text prompt, consented voice replication and a library of 150+ voices; about 100 languages. The API changelog dates them 22 Sep; Google’s blog and posts came on 23 Sep. [ai.google.dev ↗](https://ai.google.dev/gemini-api/docs/changelog) [blog.google ↗](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-8-text-to-speech/) [x.com ↗](https://x.com/GoogleDeepMind/status/2102781530867126505) [x.com ↗](https://x.com/OfficialLoganK/status/2102785495726219305) - 21Sep AliceAI-Foundation-80B-A3B-Base Yandexopen weights[jeep build failed — AliceAI-Foundation-80B-A3B-Base made no game, 23 Sep](https://evalmap.ai/jeep/#aliceai-foundation-80b) Open weights (Apache-2.0) on Hugging Face; base model only · 80B-total, 3B-active MoE that Yandex pretrained from scratch on its own architecture; 262,144-token context; Russian and English. A pretrained base with no instruct or chat version. [huggingface.co ↗](https://huggingface.co/yandex/AliceAI-Foundation-80B-A3B-Base) [x.com ↗](https://x.com/yandex/status/2101979203935604747) - 21Sep Grok 4.7 SpaceXAI[3Don the atlas: Grok 4.7 (xhigh)](https://evalmap.ai/#grok-4-7)[jeep build by Grok 4.7, made 21 Sep](https://evalmap.ai/jeep/#grok47-xhigh)[jeep build failed — Grok 4.7 made no game, 2 Oct](https://evalmap.ai/jeep/#grok47-xhigh-oc2)[jeep build, xhigh effort by Grok 4.7, made 2 Oct](https://evalmap.ai/jeep/#grok47-build-fast-xhigh) API (grok-4.7), Cursor, and Grok Build, the grok CLI, where it is the default model; the docs name OpenRouter, Vercel and Cloudflare as gateways. A Fast variant (grok-4.7-build-fast), at twice the output speed and twice the price, only in Cursor and Grok Build · A new, larger base model than Grok 4.6's, with a longer reinforcement learning run. 500K context; text and image in, text out; reasoning effort low/medium/high/xhigh, high by default; $2/$6 per million input/output tokens, $4/$12 above 200K; knowledge to May 2026. Grok Build carried it a day before the launch post: its changelog entry 1.0.40 of 20 Sep reads ‘Grok 4.7 has arrived!’ [x.ai ↗](https://x.ai/news/grok-4-7) [docs.x.ai ↗](https://docs.x.ai/developers/grok-4-7) [x.ai ↗](https://x.ai/build/changelog) - 21Sep MiMo-V2.6-Pro and MiMo-V2.6-Flash Xiaomiopen weights[3Don the atlas: MiMo-V2.6-Pro](https://evalmap.ai/#mimo-v2-6-pro)[jeep build by MiMo-V2.6-Pro, made 22 Sep](https://evalmap.ai/jeep/#mimo-v26-pro) API on the Xiaomi MiMo platform (mimo-v2.6-pro, mimo-v2.6-flash) and on OpenRouter; open weights (MIT) on Hugging Face and ModelScope as MiMo-V2.6-Pro-RL and MiMo-V2.6-Flash-RL; MiMo Desktop. A Pro-UltraSpeed tier, the same checkpoint served at up to 20 times the output speed for 10 times the price, is API only · Pro: 1.02T parameters, 42B active; Flash: 309B, 15B active. 1M context, 128K output; text, image, video and audio in, text out; thinking on by default and switchable. $0.435/$0.87 per million input/output tokens for Pro and $0.14/$0.28 for Flash, unchanged from V2.5. Out on 21 Sep UTC; Xiaomi’s changelog dates it 22 Sep, Beijing time. Pro also runs in UltraSpeed, an API-only mode at up to 20× the speed, for $4.35/$8.70. EvalMap timed UltraSpeed on 25 Sep at a median 344 tokens/s against 26 for standard Pro, through the same client and Xiaomi’s API: 13 times, though standard Pro ran well below Artificial Analysis’s 54 tokens/s that afternoon. Xiaomi also released MiMo-V2.6-Distill-Qwen-9B, a 9B distillation, with open weights under MIT. [mimo.mi.com ↗](https://mimo.mi.com/docs/en-US/news/latest/v2-6) [huggingface.co ↗](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL) [x.com ↗](https://x.com/XiaomiMiMo/status/2102138559952290106) [mimo.mi.com ↗](https://mimo.mi.com/docs/en-US/price/pay-as-you-go) [huggingface.co ↗](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B) - 14–20 Sep - 20Sep Qwen-Image-2.1 Alibaba Qwenimageopen weights Open weights (Qwen Research License, non-commercial) on Hugging Face and ModelScope · Text-to-image and editing in one model; 7B-parameter generation component. RGBA output; up to 10 reference images. [huggingface.co ↗](https://huggingface.co/Qwen/Qwen-Image-2.1) [x.com ↗](https://x.com/Alibaba_Qwen/status/2101659302792679789) - 20Sep Step 5 Preview StepFun[3Don the atlas: Step 5 Preview](https://evalmap.ai/#step-5)[jeep build by Step 5 Preview, made 19 Sep](https://evalmap.ai/jeep/#step-5-preview-stepfun)[jeep build by Step 5 Preview (high), made 8 Oct](https://evalmap.ai/jeep/#step5-preview-high) API (StepFun platform) and StepFun Studio; open weights promised for 15 Oct · 600B-total, 27B-active MoE; 1M context; image and video input; reasoning effort low/medium/high; $1.00/$2.70 per million input/output tokens. Artificial Analysis lists it from 18 Sep and measured it before the announcement. [x.com ↗](https://x.com/StepFun_ai/status/2101510462685003786) [platform.stepfun.ai ↗](https://platform.stepfun.ai/docs/en/guides/models/step-5-preview) - 20Sep Qwen-Audio-3.1-Realtime-Plus Alibaba Qwenspeech API (QwenCloud / Model Studio, qwen-audio-3.1-realtime-plus) · Real-time duplex speech conversation, on the same protocol as 3.0 Plus; eight new system voices, 262,144-token context, function calling, web search and voice cloning. Presented at Apsara on 22 Sep as part of the Qwen-Audio-3.1 family. [docs.qwencloud.com ↗](https://docs.qwencloud.com/changelog/models) [alibabacloud.com ↗](https://www.alibabacloud.com/press-room/alibaba-unveils-roadmap-on-full-stack-ai-strategy) - 18Sep Qwen3.8-Omni-Flash Alibaba Qwen API (Qwen Cloud, Alibaba Cloud Model Studio) and Qwen Studio; no open weights · Text, image, audio and video in; text out. Built on Qwen3.8-Flash-Next; 1M context; $0.15/$0.47 per million input/output tokens on Qwen Cloud. [x.com ↗](https://x.com/Alibaba_Qwen/status/2100785962414702599) [qwencloud.com ↗](https://www.qwencloud.com/models/qwen3.8-omni-flash) - 18Sep GLM-5.3-FlashX Z.ai[jeep build by GLM-5.3-FlashX, made 21 Sep](https://evalmap.ai/jeep/#glm53-flashx) API (not yet in the GLM Coding Plan) · Faster tier of GLM-5.3-Flash (320B total, 18B active), up to 200 tokens/s. 1M context; $0.37/$1.25 per million input/output tokens. [docs.z.ai ↗](https://docs.z.ai/guides/vlm/glm-5.3-flash) [mp.weixin.qq.com ↗](https://mp.weixin.qq.com/s/ZJHhQrDeiwOGkkaqHw7kqA) - 18Sep Grok Voice Transcribe 2.0 SpaceXAIspeech API (Speech to Text, model ID grok-voice-transcribe-2.0) · Speech-to-text, batch and streaming. $0.10/hour batch, $0.20/hour streaming, same as 1.0. Not yet the API default. [x.ai ↗](https://x.ai/news/grok-voice-transcribe-2) [x.com ↗](https://x.com/SpaceXAI/status/2101005248311726387) - 17Sep Qwen3.8-LiveTranslate-Flash-Realtime Alibaba Qwenspeech API (QwenCloud / Model Studio, WebSocket Realtime API) · Simultaneous translation of live audio and video: 60 source languages, voice output in 29; about 2.3 s end to end, down from 2.8 s, with speaker diarization. Alibaba ‘debuted’ it at Apsara on 22 Sep. [docs.qwencloud.com ↗](https://docs.qwencloud.com/changelog/models) [alibabacloud.com ↗](https://www.alibabacloud.com/press-room/alibaba-unveils-roadmap-on-full-stack-ai-strategy) - 16Sep Doubao-Seed-2.1-pro 0915 ByteDance Seed API on Volcengine Ark; also in Doubao Work and TRAE · Dated update to Seed 2.1 pro; Ark model ID doubao-seed-2-1-pro-260915. [volcengine.com ↗](https://www.volcengine.com/docs/82379/1159178) [news.qq.com ↗](https://news.qq.com/rain/a/20260916A08DCQ00) - 16Sep Pareto 26.9 Unbiased[jeep build by Pareto 26.9, made 16 Sep](https://evalmap.ai/jeep/#union-alpha-092026) Free stealth API as Union Alpha (OpenRouter, OpenCode, Cloudflare, Cline); paid API after the reveal on 17 Sep · A blend of several open and frontier models, not one set of weights. 256K context; $2.50/$7.50 per million input/output tokens. [unbiased.ai ↗](https://unbiased.ai/model-card/) [x.com ↗](https://x.com/unionalphaai/status/2100722366200557603) [x.com ↗](https://x.com/OpenRouter/status/2100235351575191751) - 15Sep Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking Google DeepMindspeech Generally available in the Gemini API and AI Studio; in Gemini Live and Search Live · Audio-to-audio models gemini-3.8-live and gemini-3.8-live-extended-thinking; 97 languages; Enterprise in private preview. [blog.google ↗](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-8-live-gemini-3-8-live-extended-thinking/) [ai.google.dev ↗](https://ai.google.dev/gemini-api/docs/changelog) - 15Sep Quasar 1.1 438B Multiverse Computing CompactifAI API · Compressed from Z.ai's GLM-5.2 (experts cut from 256 to 148 per layer); part of the healing data was made on IBM quantum hardware. [multiversecomputing.com ↗](https://multiversecomputing.com/resources/quasar-1-1-438b-the-first-ai-model-using-quantum-generated-data) [x.com ↗](https://x.com/MultiverseCompu/status/2099885003492470993) - 15Sep StepAudio 3 StepFunspeech API and Voice AI Lab · Five models: Realtime (full-duplex voice), ASR, TTS, Gen and Music; Realtime, Gen and Music are free-trial previews. [platform.stepfun.ai ↗](https://platform.stepfun.ai/docs/en/guides/models/audio) [x.com ↗](https://x.com/StepFun_ai/status/2099916376274313630) - 14Sep Atria Dawn Preview Shanghai AI Laboratoryopen weights Open weights (MIT) on Hugging Face and ModelScope (internlm/Atria-Dawn-Preview, with FP8) and an API · An agentic model for long-horizon research and engineering work, post-trained from Z.ai’s 744B-parameter GLM-5.2 mixture-of-experts model, with a 256K context. @AtriaASI, 14 Sep 13:30 UTC: ‘Introducing Atria Dawn Preview’, with links to the weights and an API. The Hugging Face repository was created on 11 Sep, but when it became public was not established, so the row is dated by the post. Earlier passes missed it. [huggingface.co ↗](https://huggingface.co/internlm/Atria-Dawn-Preview) [github.com ↗](https://github.com/atria-asi/Atria-Dawn) [x.com ↗](https://x.com/AtriaASI/status/2099490911822794901) - 7–11 Sep - 11Sep Kimi K2.8 Preview Moonshot AI[jeep build by Kimi K2.8 Preview, made 11 Sep](https://evalmap.ai/jeep/#kimi-k28preview) In Kimi Code, including its kimi-for-coding API (preview, no weights) · Served under the unchanged kimi-for-coding ID; thinking effort low/high/max (default max); up to 1M context on all tiers. [kimi.com ↗](https://www.kimi.com/code/docs/en/kimi-code/whats-new.html) - 11Sep Fugu Max and Fugu Ultra v2 Sakana AI[jeep build by Fugu Max, made 21 Sep](https://evalmap.ai/jeep/#fugu-max) API (OpenAI-compatible) · Multi-agent orchestration systems that route tasks across a pool of models; Fugu Max costs $2/$6 per million input/output tokens. [sakana.ai ↗](https://sakana.ai/fugu-max-release/) [x.com ↗](https://x.com/SakanaAILabs/status/2098233826816205275) - 10Sep SWE-2 Cognition[jeep build by Devin SWE-2, made 10 Sep](https://evalmap.ai/jeep/#devin-swe2) Devin Desktop and CLI; rolling out to Devin Web · Coding model post-trained from Kimi K3 (2.8T parameters), with medium, high and max effort levels. [cognition.com ↗](https://cognition.com/blog/swe-2) [x.com ↗](https://x.com/cognition/status/2098069235733823965) - 10Sep North Small Translate Cohereopen weights Open weights (CC BY-NC 4.0), gated download on Hugging Face · Translation model, 218B total / 25B active MoE; 50+ languages; 16K input and 16K output tokens. [cohere.com ↗](https://cohere.com/blog/north-small-translate) [huggingface.co ↗](https://huggingface.co/CohereLabs/North-Small-Translate-1.0) - 10Sep DeepSeek-V4.1-Flash DeepSeekopen weights[jeep build by DeepSeek V4.1 Flash, made 8 Sep](https://evalmap.ai/jeep/#deepseek-v4-1-flash-beta)[jeep build, max effort by DeepSeek V4.1 Flash, made 26 Sep](https://evalmap.ai/jeep/#deepseek-v41-flash-max-fb) API and open weights (MIT) · 552B MoE, 8B active on input / 16B on output; native image input; 1M context; API model ID deepseek-flash; V4.1-Pro to follow. [api-docs.deepseek.com ↗](https://api-docs.deepseek.com/news/news260910) [huggingface.co ↗](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash) - 9Sep AuK and AuK-Flash Tencentspeechopen weights Open weights (MIT) · 1.5B model for speech generation and editing (TTS, voice cloning, enhancement, separation); AuK-Flash is distilled to 4 steps. [huggingface.co ↗](https://huggingface.co/tencent/AuK) [github.com ↗](https://github.com/Tencent-Hunyuan/AuK) - 8Sep Mercury 2.5 Inception[jeep build failed — Mercury 2.5 made no game, 24 Sep](https://evalmap.ai/jeep/#mercury25-high-oc2)[jeep build failed — Mercury 2.5 made no game, 27 Sep](https://evalmap.ai/jeep/#mercury25-high-oc2-r2) API, chat, OpenRouter and Baseten · Diffusion LLM, 260K context, tunable reasoning. $0.20/$0.75 per million input/output tokens, 80% off at launch. [inceptionlabs.ai ↗](https://www.inceptionlabs.ai/blog/introducing-mercury-2-5) [x.com ↗](https://x.com/_inception_ai/status/2097365772289151417) - 8Sep ChatGPT Images 2.5; GPT-Image-2.5 Flare and GPT-Image-2.5 Sunburst OpenAIimage In ChatGPT and Codex, and in the API · Rolling out to all ChatGPT and Codex users. API: Flare for fast generation, Sunburst for precise edits; GPT Image 2 token rates. [developers.openai.com ↗](https://developers.openai.com/api/docs/changelog) [x.com ↗](https://x.com/OpenAI/status/2097394962782384318) - 8Sep MiMo-X-Pro-Preview and MiMo-X-Flash-Preview Xiaomi[jeep build by MiMo-X-Pro-Preview, made 9 Sep](https://evalmap.ai/jeep/#mimo-x-pro) Desktop app beta, invite only · Codenamed preview models, free with time and quota limits for approved testers of the invite-only MiMo Desktop beta. [mimo.mi.com ↗](https://mimo.mi.com/docs/en-US/news/latest/mimo-desktop) [x.com ↗](https://x.com/XiaomiMiMoDevs/status/2097217950700679503) - 8Sep Ling-3.0-flash-VL inclusionAI (Ant Group)open weights[jeep build by Ling-3.0-flash-VL, made 24 Sep](https://evalmap.ai/jeep/#ling3-flash-vl-oc2) Open weights (MIT), BF16 and FP8; FP4 and INT4 followed on 11 Sep · Weights of the image- and video-input model announced on 4 Sep. [x.com ↗](https://x.com/AntLingAGI/status/2097359640233439299) [huggingface.co ↗](https://huggingface.co/inclusionAI/Ling-3.0-flash-VL) - 7Sep MiniCPM5-2B OpenBMBopen weights Open weights (Apache 2.0) on Hugging Face and ModelScope, with base, mid-train and SFT checkpoints, GGUF, MLX and GPTQ builds and a DSpark draft model · A 2.5B dense model for local assistants, coding agents and tool use, with a 131K context and a thinking switch; OpenBMB also released its training data. @OpenBMB says it ranks first among open models under 4B on the Artificial Analysis Intelligence Index, at 23. The Hugging Face repository is dated 6 Sep, the announcement 7 Sep. [huggingface.co ↗](https://huggingface.co/openbmb/MiniCPM5-2B) [github.com ↗](https://github.com/OpenBMB/MiniCPM) [x.com ↗](https://x.com/OpenBMB/status/2096970974247956501) - 31 Aug–4 Sep - 4Sep LLaDA-Image and LLaDA-Image-Turbo inclusionAI (Ant Group)imageopen weights Open weights (Apache-2.0) · 6B model for text-to-image and editing. Base samples in 50 steps, Turbo is distilled to 4; FP8 checkpoints also published. [huggingface.co ↗](https://huggingface.co/inclusionAI/LLaDA-Image) [x.com ↗](https://x.com/TheInclusionAI/status/2095696902004293744) - 4Sep MAI-Image-2.6-Flash (with MAI-Image-2.6 in Foundry) Microsoft AIimage Microsoft Foundry public preview and MAI Playground · Faster tier of MAI-Image-2.6 (announced 10 Aug) at under half its price; both models reached Foundry public preview that day. [microsoft.ai ↗](https://microsoft.ai/news/pushing-the-quality-cost-frontier-with-mai-image-2-6/) [microsoft.ai ↗](https://microsoft.ai/news/mai-image-2-6-launches-at-no-2-on-arena-ahead-of-google-meta-and-xai/) - 4Sep Omen Alpha Undisclosed (stealth)[jeep build by Omen Alpha, made 4 Sep](https://evalmap.ai/jeep/#omen-alpha-maybe-glm5) Paid preview for OpenCode Go subscribers · Maker not disclosed. 500K context, text and image input, $0.20/$0.66 per million input/output tokens. OpenCode marked it deprecated on 10 Sep. [x.com ↗](https://x.com/opencode/status/2095746098522452093) [github.com ↗](https://github.com/anomalyco/models.dev/blob/dev/providers/opencode-go/models/omen-alpha.toml) - 4Sep Ling-3.0-flash-VL inclusionAI (Ant Group) Announced; API trial on Computrix from 5 Sep · 124B total / 5.5B active MoE with image and video input. Weights (MIT) followed on 8 Sep; the model card lists a 256K context. [x.com ↗](https://x.com/AntLingAGI/status/2095935971556782372) [huggingface.co ↗](https://huggingface.co/inclusionAI/Ling-3.0-flash-VL) - 3Sep K2 Horizon IFM (MBZUAI)open weights Open weights (Apache 2.0) on Hugging Face, with training data, code, logs and intermediate checkpoints · A family of six: K2-Horizon-375B-A23B, a mixture of experts with a 512K context; 36B-A4B with IFM’s Mixture-of-Value-Attention; and dense 32B, 7B, 3.7B and 0.9B models, with FP8 and GGUF builds. IFM opens the whole training run, from pre-training to agentic post-training. [ifm.ai ↗](https://ifm.ai/blog/k2/) [huggingface.co ↗](https://huggingface.co/IFM/K2-Horizon-375B-A23B) [x.com ↗](https://x.com/IFM_AI/status/2095497035806113861) - 3Sep MAI-Transcribe-2 Microsoft AIspeech Public preview in Microsoft Foundry (Azure Speech), MAI Playground, OpenRouter · Speech-to-text in 60 languages with diarization and word timestamps; $0.10 per audio hour until end of 2026. [microsoft.ai ↗](https://microsoft.ai/news/mai-transcribe-2-is-the-fastest-most-accurate-and-cheapest-speech-recognition-model-in-the-world/) [learn.microsoft.com ↗](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/mai-transcribe) - 3Sep GPT-6 Astra OpenAI[3Don the atlas: GPT-6 Astra (max)](https://evalmap.ai/#gpt-6-astra)[jeep build by GPT-6 Astra, made 4 Sep](https://evalmap.ai/jeep/#astra) API, Codex, Amazon Bedrock; ChatGPT Plus, Pro, Business and Enterprise over the following days · gpt-6-astra: 1.05M context, 128K output, effort low to max; $10/$50 per million input/output tokens; Fast mode 2x speed at 2x price. [openai.com ↗](https://openai.com/index/gpt-6-astra/) [developers.openai.com ↗](https://developers.openai.com/api/docs/models/gpt-6-astra) - 3Sep Ling-3.0-flash-Fin inclusionAI (Ant Group)open weights[jeep build failed — Ling-3.0-flash-Fin made no game, 24 Sep](https://evalmap.ai/jeep/#ling3-flash-fin-oc2)[jeep build failed — Ling-3.0-flash-Fin made no game, 27 Sep](https://evalmap.ai/jeep/#ling3-flash-fin-oc2-r2) Open weights (MIT) on Hugging Face · Weights of the finance-tuned model on OpenRouter since 27 Aug. [huggingface.co ↗](https://huggingface.co/inclusionAI/Ling-3.0-flash-Fin) - 2Sep Qwen3.8-Max-0902 Alibaba Qwen[3Don the atlas: Qwen3.8 Max (0902)](https://evalmap.ai/#qwen3-8-max)[jeep build by Qwen3.8 Max 0902, made 2 Sep](https://evalmap.ai/jeep/#qwen38-max-0902) API (Qwen Cloud / Model Studio) · Upgraded snapshot of Qwen3.8-Max (alias qwen3.8-max-2026-09-02); 2.4T parameters, 1M context; $2/$6 per million input/output tokens. [qwencloud.com ↗](https://www.qwencloud.com/models/qwen3.8-max-0902) [x.com ↗](https://x.com/Alibaba_Qwen/status/2094968708288680276) - 2Sep Gemini 3.8 Flash and Gemini 3.8 Flash Cyber Google DeepMind[3Don the atlas: Gemini 3.8 Flash (high)](https://evalmap.ai/#gemini-3-8-flash)[jeep build by Gemini 3.8 Flash, made 2 Sep](https://evalmap.ai/jeep/#gemini38flash)[jeep build, second build by Gemini 3.8 Flash, made 2 Sep](https://evalmap.ai/jeep/#aaa-jeep-game-gemini38flash) Gemini API (stable), AI Studio, Antigravity, Gemini app for AI Pro/Ultra; Flash Cyber via Fairwind Program only · gemini-3.8-flash: 1M input, 64K output, thinking low/medium/high; $0.75/$3.75 per million input/output tokens until end of 2026, then $1.50/$7.50. [blog.google ↗](https://blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-cyber/) [ai.google.dev ↗](https://ai.google.dev/gemini-api/docs/models/gemini-3.8-flash) - 2Sep Muse Spark 1.3 Meta[3Don the atlas: Muse Spark 1.3 (max)](https://evalmap.ai/#muse-spark-1-3)[jeep build by Muse Spark 1.3, made 2 Sep](https://evalmap.ai/jeep/#muse13)[jeep build, max effort by Muse Spark 1.3, made 4 Sep](https://evalmap.ai/jeep/#muse13-max-effort) Meta Model API and Muse Code · Closed weights; 1M context; $1.25/$4.25 per million input/output tokens. The max reasoning level was held back for safety testing and opened on 4 Sep. [research.meta.ai ↗](https://research.meta.ai/blog/introducing-muse-spark-1-3) [x.com ↗](https://x.com/AIatMeta/status/2095940043294847084) - 2Sep Quasar 438B Multiverse Computing API (CompactifAI) · 438B-parameter reasoning model built from Z.ai's GLM-5.2 with CompactifAI compression; English and Spanish. [multiversecomputing.com ↗](https://multiversecomputing.com/resources/introducing-quasar-438b-europe-s-leading-ai-model) [multiversecomputing.com ↗](https://multiversecomputing.com/resources/quasar-1-1-438b-the-first-ai-model-using-quantum-generated-data) - 1Sep Celeris-1 Magnus Celeris API · Hybrid diffusion model derived from Qwen3.8-27B, with reasoning and tool calling; 131K context; $0.20/$0.70 per million input/output tokens. [celeris.ai ↗](https://celeris.ai/introducing-celeris-1-magnus) [x.com ↗](https://x.com/Celeris_ai/status/2094626639842078755) - 1Sep Claude Fable 5.1 and Claude Mythos 5.1 Anthropic[3Don the atlas: Claude Fable 5.1 (max with fallback)](https://evalmap.ai/#claude-fable-5-1)[jeep build by Claude Fable 5.1, made 2 Sep](https://evalmap.ai/jeep/#fable51)[jeep build, medium effort by Claude Fable 5.1, made 5 Sep](https://evalmap.ai/jeep/#fable51-medium-effort)[jeep build by Claude Mythos 5.1 (xhigh), made 7 Oct](https://evalmap.ai/jeep/#mythos51-xhigh)[jeep build by Claude Fable 5.1 (xhigh), made 7 Oct](https://evalmap.ai/jeep/#fable51-xhigh) API, Claude apps, Claude Code, Bedrock, Google Cloud, Microsoft Foundry; Mythos 5.1 trusted access only · claude-fable-5-1: 1M context, 128K output, $10/$50 per million input/output tokens, effort low to max. Mythos 5.1 shares the same underlying model with different safeguards and is for trusted-access partners. AA’s Fable results are not separately confirmed Mythos results. [anthropic.com ↗](https://www.anthropic.com/claude-fable-and-mythos-5-1) [platform.claude.com ↗](https://platform.claude.com/docs/en/models/fable-5-1/overview) - 1Sep Muse Voice Transcribe Metaspeech Meta Model API, Meta AI for Mac, Muse Code · Real-time streaming ASR with diarization (20+ speakers) and endpointing; 25 validated languages; $0.18 per audio hour. [research.meta.ai ↗](https://research.meta.ai/blog/introducing-muse-voice-transcribe) [x.com ↗](https://x.com/AIatMeta/status/2094839236016976028) - 31Aug DeepSeek-V4-Flash-Vision-Exp DeepSeekopen weights[jeep build by DeepSeek-V4-Flash-Vision-Exp, made 24 Sep](https://evalmap.ai/jeep/#deepseek-v4-flash-vision-exp-max-oc2) Open weights (MIT) · Weights of the experimental vision variant of V4-Flash, on the DeepSeek API since 21 Aug; the API model was retired 10 Sep. [huggingface.co ↗](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp) [api-docs.deepseek.com ↗](https://api-docs.deepseek.com/updates) - 25–28 Aug - 28Aug Hy4 preview Tencentopen weights[jeep build by HY4 Preview, made 28 Aug](https://evalmap.ai/jeep/#tecent-hy4-preview) Open weights (Apache-2.0); API on OpenRouter (Tencent) · 770B MoE, 49B active; 1M context; reasoning 'high' by default, 'no_think' for direct answers; FP8 weights too. [huggingface.co ↗](https://huggingface.co/tencent/Hy4-preview) [x.com ↗](https://x.com/TencentHunyuan/status/2093222928720761009) - 28Aug GLM-5.3 Z.aiopen weights[3Don the atlas: GLM-5.3 (max)](https://evalmap.ai/#glm-5-3)[jeep build by GLM-5.3, made 26 Aug](https://evalmap.ai/jeep/#glm53)[jeep build, max effort by GLM-5.3, made 22 Sep](https://evalmap.ai/jeep/#glm53-max-oc2) Open weights (GLM-5.3 License) · Weights of the model in Z.ai's API since 18 Aug; reasoning low/high/max; licence requires review for $10B+ MaaS firms. [huggingface.co ↗](https://huggingface.co/zai-org/GLM-5.3) [x.com ↗](https://x.com/Zai_org/status/2093354097122455713) - 27Aug Ling-3.0-flash-Fin inclusionAI (Ant Group) API via OpenRouter · Finance-tuned Ling-3.0-flash: 124B total, 5.1B active, 256K context. Weights followed on 3 Sep. [x.com ↗](https://x.com/AntLingAGI/status/2093022087069958492) - 27Aug Gemini Omni 1.1 Flash Google DeepMindvideo Generally available in the Gemini API (AI Studio), Enterprise Agent Platform and Google Flow · Video generation and editing: scene extension to 40 s, first/last-frame control, 4K upscaling, cheaper 360p drafts. [blog.google ↗](https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-omni-1-1-flash/) [ai.google.dev ↗](https://ai.google.dev/gemini-api/docs/changelog) - 27Aug MiniMax H3 Max falvideo API on fal · fal's post-trained MiniMax H3 video model; fal says it makes a 5-second clip in under 3 seconds. [blog.fal.ai ↗](https://blog.fal.ai/introducing-h3-max-by-fal/) [x.com ↗](https://x.com/MiniMax_AI/status/2093778769903534294) - 26Aug Qwen3.8-Flash-Next Alibaba Qwenopen weights[jeep build by Qwen3.8-Flash-Next, made 24 Sep](https://evalmap.ai/jeep/#qwen38-flash-oc2) Open weights (Qwen Community License 1.0); hosted Qwen3.8-Flash API announced · 125B MoE, 6B active, plus 51B n-gram embeddings; 262K context (1M with YaRN); reasoning xhigh/medium/low. [huggingface.co ↗](https://huggingface.co/Qwen/Qwen3.8-Flash-Next) [x.com ↗](https://x.com/Alibaba_Qwen/status/2092591393424515114) - 26Aug Gemini 3.5 Transcribe and Gemini 3.5 Transcribe Live Google DeepMindspeech In the Gemini API and Gemini Enterprise Agent Platform · Speech-to-text in 85+ languages: gemini-3.5-transcribe for recorded audio, gemini-3.5-transcribe-live for streaming. [blog.google ↗](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5-transcribe/) [ai.google.dev ↗](https://ai.google.dev/gemini-api/docs/changelog) - 26Aug GLM-5.3-Flash Z.aiopen weights[3Don the atlas: GLM-5.3-Flash](https://evalmap.ai/#glm-5-3-flash)[jeep build by GLM-5.3-Flash, made 26 Aug](https://evalmap.ai/jeep/#glm5-3-flash)[jeep build, on two DGX Sparks by GLM-5.3-Flash, made 27 Aug](https://evalmap.ai/jeep/#glm53-flash-2x-sparks-localai) API, open weights (MIT), Coding Plan and Z.ai chat · 320B total, 18B active; natively multimodal; 1M context; reasoning low/high/max; $0.15/$0.50 per million input/output tokens. Tested as Ox Alpha. [huggingface.co ↗](https://huggingface.co/zai-org/GLM-5.3-Flash) [x.com ↗](https://x.com/Zai_org/status/2092616204787626030) - 25Aug Granite 4.2 IBMopen weights[3Don the atlas: Granite 4.2 8B](https://evalmap.ai/#granite-4-2-8b)[jeep build failed — Granite 4.2 8B made no game, 24 Sep](https://evalmap.ai/jeep/#granite42-8b-high-oc2)[jeep build failed — Granite 4.2 8B made no game, 27 Sep](https://evalmap.ai/jeep/#granite42-8b-high-oc2-r2) Open weights (Apache-2.0); watsonx and partner APIs · Dense 3B, 8B and 30B models; thinking, non-thinking and low-effort modes; 128K context, extendable to 512K. [research.ibm.com ↗](https://research.ibm.com/blog/introducing-granite-4-2) [huggingface.co ↗](https://huggingface.co/ibm-granite/granite-4.2-8b) - 21 Aug - 21Aug Ling-3.0-flash-dspark inclusionAI (Ant Group)open weights Open weights (Hugging Face) · 1.36B-parameter DSpark draft model for speculative decoding with Ling-3.0-flash; runs in SGLang and llama.cpp. [huggingface.co ↗](https://huggingface.co/inclusionAI/Ling-3.0-flash-dspark) [x.com ↗](https://x.com/AntLingAGI/status/2090847436755648939) - 21Aug DeepSeek-V4-Flash-Vision-Exp DeepSeek API (experimental) · Experimental image-input version of V4-Flash; model ID deepseek-v4-flash-vision-exp. Weights followed on 31 Aug (MIT). [api-docs.deepseek.com ↗](https://api-docs.deepseek.com/news/news260821) [huggingface.co ↗](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp) ## How this was put together Where it comes from. The rows were first gathered from posts on X and from the makers’ own pages with the grok CLI on 21 September 2026. Each was then checked again against its primary source — the maker’s post, blog, docs or model card, fetched directly — and corrected where the source said otherwise: 11 of the 46 rows then gathered changed in that pass, most often a date, a licence, or whether a model shipped as a preview or generally. Dates are in UTC, and the date of a post on X is also read from its ID. The expectations were checked the same way: every quoted post says what its card says it does, on the day it says. On 4 October a source check covered new evidence of 3–4 October and earlier omissions. Releases were then listed through 4 October; that forecast was a fresh prospective reading for 4–10 October, not a revision of the 1–7 October record. Its weekly long shots were reassessed: no new model-specific day was confirmed, and Kimi K3.1’s reported before-October window has expired. Every earlier ledger row and the numerical probabilities sealed on 29 September remain unchanged. Seven native Grok OAuth topic runs made 57 search queries and 28 page-open calls, followed by independent primary-source checks. Dedicated X search was unavailable, some pages were blocked or partial, and the coverage is not exhaustive; selected Hugging Face catalog slices do not establish absence everywhere. Publication dates without an explicit timezone retain the source’s calendar date, including Kolibri’s maker-stated 3 October release. Only named speech/API models are added; independent trained weights of Microsoft’s Streaming and Voice Flash variants are not established. Targeted update on 6 October: Mistral’s own announcement and model documentation confirm Mistral Large 4 public preview API access, with weights promised for the end of October rather than released. The release cutoff advances to 6 October, but the weekly forecast and its 4 October source-check day remain unchanged; this is not a fresh full-model search. Targeted check on 7 October: Google’s dated changelog and model card document Nano Banana 2.1 as an updated image model released to GA in the Gemini API on 6 October. Earliest public-access chronology and independent trained-checkpoint identity were not established. The release cutoff, future cards, sealed forecast and its 4 October source-check day remain unchanged. Targeted check on 7 October: Anthropic’s dated announcement documents Claude Haiku 5.5 available on its API and cloud platforms that day; availability was documented, not independently exercised. The release cutoff advances to 7 October; the weekly forecast and its 4 October source-check day otherwise remain unchanged. A targeted 8 October check added OpenAI’s 7 October October-version GPT-6 Sol and Luna in ChatGPT from the maker’s dated post; the forecast was not reassessed. Grok passes over 8–10 October found no new release and no new maker date. Source check: 10 October 2026. Releases are listed through 10 October; the forecast is a fresh prospective reading for 8–14 October, not a revision of the 4–10 October record, which stays open in the ledger. Seven grok topic runs on 6–8 October evidence; no maker named a day inside 8–14 October, and Step 5’s weights remain dated 15 October. On 13 October a pass over 12–13 October checked each new release against its maker’s page — Meta’s newsroom, Google’s developer blog and Gemini API model page, OpenBMB’s GitHub and Hugging Face, and Liquid’s blog; the Watermelon codename comes from CNBC, not Meta, and Argon on Vertex AI was not verified. Source check: 13 October 2026. On 15 October seven grok topic runs covered 14–15 October and each find was checked directly: the Hugging Face API for the Step 5 Preview and Ling-3.1-flash repositories (rechecked 15 October 09:30 UTC), xAI’s post and release notes for Grok Voice 3.0, and the models.dev, OpenRouter and Vercel catalogues for the other forecast models. Ling-3.1-flash is dated by its repository’s creation time; when it became public was not established. Source check: 15 October 2026. On 16 October eight grok topic runs covered 13–16 October, all ending normally with no warnings, and each find was checked directly: Meta’s research blog and Hugging Face repository for Muse Spark Open, OpenAI’s GPT-Live-1.1 system card, the makers’ posts for Kling 4.0, Krea’s and Sarvam’s blogs, NVIDIA’s blog, xAI’s release notes, the Hugging Face organisations of the expected makers and LiteLLM’s pull requests for the Azure Fable 5.5 ID. Microsoft’s pre-training post could not be fetched. Source check: 16 October 2026. On 18 October Beam 1.0 was checked on Reflection’s blog, model card and developer docs and through the Hugging Face API, as the Hugging Face pages could not be fetched; no maker price was found. Source check: 18 October 2026. On 19 October grok topic runs covered 12–19 October, all ending normally with no warnings, and each find was checked directly: Z.ai’s blog for GLM-Legal, FastVideo’s Nuva Lab page and post for FastH3-Omni, IBM’s Hugging Face repositories and blog for Granite Switch 4.1, Black Forest Labs’ blog and Hugging Face repository for FLUX 3 Image Klein, Tencent’s Hugging Face repository and Hy Memory site, NVIDIA’s Hugging Face repository for Nemotron Labs Dory, and DeepSeek’s API update log and Hugging Face repository for V4.1-Flash-1017. Ling-3.1-flash is now dated by Ant Ling’s 14 October post. Source check: 19 October 2026. On 21 October each open card was read again against its maker’s page or Hugging Face organisation, and the FastH3-Omni weights were checked through FastVideo’s post and the Hugging Face API. Source check: 21 October 2026. On 22 October each open card was read again against its maker’s page or Hugging Face organisation, Flint was checked through Recursive’s post and the Hugging Face API, Voxtral 3 through Mistral’s announcement and docs, and the M3.1 Flash weights card rests on MiniMax’s 19 Oct blog and release notes. Source check: 22 October 2026. On 23 October each open card was read again against its maker’s page or Hugging Face organisation; the M3.1 Flash weights were checked through MiniMax’s post and the Hugging Face API, Ling-3.0-flash-Sante and Spark-X2.6-4B through their Hugging Face repositories and the makers’ posts, Spark-X2.6 through iFlytek’s model docs, Canva Craft through Canva’s API reference and post, Eleven Realtime v1 through ElevenLabs’ blog, Grok Imagine Video 1.5 Lite through xAI’s model docs, and the Kimi K3.1 teaser frame by frame. Source check: 23 October 2026. On 25 October each open card was read again against its maker’s page or Hugging Face organisation; Bolt E4B was checked through NVIDIA’s research page, NIM reference and the Hugging Face API, Kimi K3.1 Pro through Moonshot’s blog, model list, pricing page and Kimi Code’s what’s-new page, Hy-Nomas and the Atria Dawn weights and preview through their Hugging Face and GitHub repositories and the makers’ posts, Ideogram Vector and FLUX 3 Max through the makers’ posts and model pages, Glyph Cluster through Vercel’s AI Gateway, Nova 2.5 Sonic through AWS’s announcement, and the Mistral Large 4 date through Mistral’s Hugging Face page and its 9 Oct archive. Source check: 25 October 2026. On 27 October each open card was read again against its maker’s page or Hugging Face organisation; GPT-6.1 Terra was checked through OpenAI’s API changelog, model page and Codex changelog and OpenAI’s post, read in the Wayback Machine because openai.com refused direct reads, Ling-3.1-flash-1019, Hy-SimulMT and Nanbeige4.3-33B through the Hugging Face API, their model cards and the makers’ posts, and Hy-SimulMT’s licence through its licence file and GitHub repository. Source check: 27 October 2026. On 28 October each open card was read again against its maker’s page or Hugging Face organisation, Gemini 4 Carbon against Google’s announcement and the Gemini API changelog and models page, and Genie 4 against Google DeepMind’s post. LFM3 was checked through Liquid AI’s blog, the Hugging Face API and its model cards, Nemotron 3.5 Transcribe through NVIDIA’s blog, the Hugging Face API and its model card, MAI-Image-2.7-Preview through Microsoft AI’s page, Qwen-Audio-3.1-Realtime-Flash through Alibaba Cloud’s Model Studio pages and the QwenCloud changelog, and AssemblyAI-TTS-1 and Prism through their makers’ pages and posts, with the Wayback Machine for the date of AssemblyAI’s blog. Source check: 28 October 2026. On 29 October each open card was read again against its maker’s page or Hugging Face organisation, the Mistral Large 4 weights against Mistral’s Hugging Face page at 00:26 UTC, and Gemini 4 Carbon and Genie 4 against Google’s pages and Sundar Pichai’s third-quarter earnings remarks of 28 Oct. Particle-1 was checked through Particle’s blog and docs and its founder’s post, Clover-35B-A3B-Preview and Maya 2 Native through the Hugging Face API, their model cards and the makers’ posts, Coda v2 through Rime’s page, its model and on-premises docs and its post, and Cadence’s Maestro announcement through the Wayback Machine. The week of 22–28 October was scored with tools/ledger.py close and its matches read by hand: Nemotron 3.5 Bolt E4B is matched to its own row rather than to Nemotron 3.5 Transcribe, and the Kimi K3.1 Pro weights card to none, as the weights are not out. Source check: 29 October 2026, and again in a second pass to 08:52 UTC that day, which read each open card against its maker’s page or Hugging Face organisation, the Mistral Large 4 weights against Mistral’s Hugging Face page and the Hugging Face API at 08:51 UTC, the DeepSeek-V5 identifiers in DeepSeek’s deepseek-harness repository and its git history, GPT Image 2.6 in OpenAI’s API reference, API changelog and models page and in the Internet Archive’s copy of the reference of 23 Oct, and each new lead against its maker’s page, post or Hugging Face repository. The pass of 5 November, to 11:30 UTC, read the Hugging Face, OpenRouter and Vercel catalogues, makers’ X posts and changelogs, then each open card against its maker’s page or Hugging Face organisation and each new lead against its maker’s page, post or Hugging Face repository. Source check: 5 November 2026. The pass of 7 November, from 11:30 UTC on 5 November to 09:23 UTC on 7 November, read the Hugging Face, OpenRouter and Vercel catalogues, makers’ X posts and changelogs, then each open card against its maker’s page or Hugging Face organisation and each new lead against its maker’s page, post or Hugging Face repository; a second grok pass over the same window added no release. Source check: 7 November 2026. The pass of 8 November, from 09:23 UTC on 7 November to 11:02 UTC on 8 November, read the Hugging Face, OpenRouter and Vercel catalogues, makers’ X posts and changelogs, then each open card against its maker’s page or Hugging Face organisation and each new lead against its maker’s page or post; makers’ pages that refused the request were read in the Internet Archive’s latest copy; a second grok pass over the same window added no release. Source check: 8 November 2026. The pass of 9 November, from 11:02 UTC on 8 November to 10:08 UTC on 9 November, read the Hugging Face, OpenRouter and Vercel catalogues, makers’ X posts and changelogs; a script opened the maker’s page for each row grok gave and kept a row only where that page carried the model’s name and date, and every other row was checked by hand against its maker’s page, post or pull request; the six cards the last pass left open questions on were read against their makers’ pages or Hugging Face organisations; a second grok pass over the rows that did not match and those questions added no release. Source check: 9 November 2026. What is left out. Price changes, partner listings, apps and agents built on existing models, and papers are not releases. Neither is the general release of a model that was already out in preview — GPT-Live-1 reaching the API, GPT-Rosalind, Apple’s AFM 3 — nor a new setting of a model already out, such as the max reasoning level Meta opened for Muse Spark 1.3 on 4 Sep, nor GPT-6 Astra Law, which OpenAI describes as GPT-6 Astra with tools and instructions. Two rows are systems of several models sold as one model — Sakana’s Fugu and Unbiased’s Pareto 26.9 — and are listed because that is how their makers offer them. One row nothing public could confirm, a limited DeepSeek beta announced only in a user group, was left off. Small fine-tunes are not tracked, so the list is wide but not exhaustive. Also left off on 23 September: SenseTime’s SenseNova U1 Pro, whose ‘official version’ of 21 Sep follows an invite-only preview of 19 Jul; iFlytek’s Spark-ASR-2.0, announced on 23 Sep in the press only, with the API to open on 24 Sep; and Cohere’s Command A+, added to OpenRouter on 22 Sep but released in May. From 23 to 25 Sep: Gemini 3.8 Live with Live Avatar reached GA in Gemini Enterprise, a feature on an existing model; NV-Reason-CT is a fine-tune of Qwen3.5-4B; SenseNova’s U1.5 8-step LoRA tweaks an existing model. Recraft V4.1 Flash (image, 23 Sep), Ming Image 0.1 Design Layer (inclusionAI, 23 Sep) and Fish Audio Transcribe 1 Pro (24 Sep) are new on OpenRouter, but no page of their makers dates them, so they wait for one. iFlytek’s Spark-ASR-2.0 (23 Sep) is reported by IT之家 and 36Kr but has no iFlytek page yet. From 25 to 26 Sep: Respan’s Span-01 and Span-01 Lite, new on OpenRouter, score agent behaviour and are classifiers, not chat models; Black Forest Labs’ FLUX 3 Action (September) is a robot-control world-action model, a kind the list does not track; Gemini 3.5 Transcribe reached OpenRouter on 25 Sep but was released on 26 Aug; GitHub Copilot’s listing of Opus 5.5, GPT-6 Sol and Luna and Grok 4.7 on 25 Sep is distribution. From 28 to 29 Sep: H Company’s Holo4-27B and Holo4-35B-A3B are computer-use post-trains of Qwen3.8-27B and Qwen3.6-35B-A3B, and AutoTrust’s JEV-27B is a classifier fine-tune of Qwen3.8-27B; Grok 4.7 on Amazon Bedrock, Sonnet 5.5 in Google’s Model Garden and Solar Mini 4 on OpenRouter are distribution; Manus 2.0 is an agent product. Reddit threads that only restate an X post or an article, and a DevDay ‘o’ agent named only in commentary, are not rows. From 30 Sep to 1 Oct: Inception’s Mercury Decide is a decision model and Voyage’s rerank-3 and rerank-3-lite are rerankers; Runway’s Praxis-1 is a world-action model announced for later; ByteDance’s reported Xiaodou assistant is an app. Checked on 3 Oct: Alibaba Cloud lists qwen-image-2.1-pro for International service in Singapore on 2 Oct, but a distinct trained Pro checkpoint or new Pro weights were not established; Qwen-Image-2.1 weights came out on 20 Sep, and this is not Qwen-Image 3.1. OpenAI’s Dots is an agent product powered by GPT-6 Astra, not a separate checkpoint; Finances and the GPT-6 guide are product/docs updates. MiniMax’s 1–7 Oct unlimited M3.1-Flash-Preview use is a promotion for MiniMax Code subscribers, not a new model or API release. Xiaomi’s V2.5 sunset on 21 Oct and xAI’s Transcribe-1.0 end of life on 2 Oct are lifecycle events, not evidence of MiMo-V3 or Grok 4.8 launch dates. Meta’s 2 Oct research and scaling-framework articles do not announce a new checkpoint or release day. Checked on 4 Oct: Cohere’s Embed 5 Pro and Fast are embedding models released on 30 Sep; Parse 5 is a document-parsing VLM released on 27 Aug. Their 8 Oct X event and unnamed behind-the-scenes teaser are not a promised new checkpoint launch. Ai2’s AstaBrief 8B, announced on 2 Oct, is a specialized Qwen3-8B scientific-report SFT/DPO post-train; its repository creation and modification dates do not establish first public weights. Amazon Strands and Inception Decider are framework/orchestration products, not confirmed new checkpoints. On 7 October NVIDIA published Nemotron 3 specialist checkpoints (Nemotron-3-Ultra-CC and IMO SFT/RL checkpoints), fine-tunes of an existing family; Liquid’s d1 and Perplexity’s pplx-embed-v2 that day were seen only on an aggregator and are not listed until a maker page is checked. GPT-6 Sol and Luna (October) are listed despite sharing names with the September models because OpenAI’s system card treats them as separately released versions with their own evaluations, not a setting of the September models. Checked on 16 Oct: Tencent’s Hy-Memory-30B-A3B is a memory-writer model for memory frameworks, Liquid’s d1-ultra a decision model and Mistral’s Timestral a family of time-series forecasters, kinds the list does not track; Microsoft’s MAI-Base-2 is a pre-trained base model announced without access; FastH3-Omni, a FastVideo post-train of MiniMax’s H3, is in an invitation-only preview on Reactor until 20 Oct; TypeSafe’s Jev 1.14 and ScaleDown’s task models are decision and extraction models; Moondream 3.1 reached OpenRouter on 15 Oct but came out in July; Arena leaderboard placements are not releases; GPT-Live-1.1 in the API is only ‘coming soon’. Checked on 19 Oct: Hy-Memory-30B-A3B is now listed after all, as an open-weight language model released with Hy Memory 2.0, and FastH3-Omni, whose preview API opened to developers on 13 Oct, is listed with its weights forecast. Gemini 4 Argon Cyber Permissive is allowlist-only through Fairwind, a configuration of Gemini 4 Argon; Krea 3 leaving beta is a general release of a model already out; MAI-Base-2 is only the end of pre-training, Kimodo v1.2 a checkpoint fix and Decision 3.0 (11 Oct) outside the window; the anonymous aurora-*-alpha models on Arena and Aspen, Cypress and Maple have no named maker; the Azure Fable 5.5 line was withdrawn and its source cannot be opened. Checked on 22 Oct: MiniMax M3.1 Flash on the API (19 Oct) is the general release of the preview listed on 27 Sep; Claude Duet (21 Oct) is an app built on Opus 5.5; OpenAI’s models in Google Cloud Model Garden (21 Oct) are distribution. Checked on 23 Oct: OpenAI’s Decisions API reaching general availability with gpt-6-luna (22 Oct) is a feature on a released model; Claude on Google Cloud managed by Anthropic is distribution; Microsoft’s MAI-DxO orchestrates other makers’ models; Ai2’s OlmoEarth v1.3 and NVIDIA’s Kumo, Nemotron Retriever, StormScope EU and Minerva are satellite-embedding, tabular, retrieval, weather and monitoring models, kinds the list does not track, as is NVIDIA’s Alpamayo 2 Edge, a driving model due later this month; Tencent’s WeVisOne-VL is a perception post-train of Qwen3-VL; Kling 4.0 in Luma, OpenArt and Picsart and PixVerse V6 in QwenCloud are partner listings; Ling-3.0-tiny-UBTree and Liquid’s LFM2.5-24B-A2B-DSpark are speculative-decoding drafters; Ming-3.0-audio-flash and Ming-3.0-tts-tiny are updates of September repositories; Gradium’s Phonon (weights posted 20 Oct) is a small text-to-speech family built on Kyutai’s Pocket TTS. ByteDance’s Seedance 2.5 4K is in a trial for some enterprise customers, reported only by IT之家, and iFlytek’s SparkAudio 1.0 only by Pandaily. Inception’s Mercury 3, Elorian’s Glimpse and Xingchen’s Xing4.0-29B-A4B are new on OpenRouter (16–17 Oct), but no page of their makers was checked. The anonymous Kibitz and straw models on Arena have no named maker. Checked on 25 Oct: OpenAI’s ‘upcoming GPT‑6 Astra Cyber model’ (23 Oct) has no date and may be a version of GPT‑6 Astra, so it is noted on OpenAI’s card rather than given one; Microsoft’s MAI-Code-1.1-Flash, whose page was archived on 11 Aug, gained a local download on 7 Oct, a new way to run a model out before the window; Atria Dawn on Shanghai AI Laboratory’s API (15 Oct) is the general release of Atria Dawn Preview, listed with its weights; InternScience’s Sage-A1.5 is a scientific-agent post-train of Qwen3.6-35B-A3B; TII’s Falcon-Emirati, Falcon-ASR and Falcon-OCR-Arabic (6 Oct) had no public access that could be found, and Falcon-Emirati ‘will be available’ through Falcon Chat; Hy-Nomas-Diffusers is a format conversion; Kling 4.0 on fal and Kimi K3.1 Pro in Vercel’s AI Gateway are partner listings; Sakana’s Aquarium is an agent platform; the anonymous Kalmia on Arena has no named maker; Qwen4 names in third-party kernel code are not a release. Bria’s Fibo 2.0, Underdog’s Bark 3.0, JetBrains’ Mellum2.1 Thinking, Tencent’s Youtu-LLM-A7B-Base, Seedream 5.0 Flash and Doubao 2.1 Lite were seen only on aggregators, and Block’s Dessa only in a digest, and no page of their makers was checked. Checked on 27 Oct: GPT-6.1 Terra Pro on OpenRouter is GPT-6.1 Terra served with a pro reasoning mode, a setting, and GPT-6.1 Terra (Fast) in Vercel’s AI Gateway and Terra on Amazon Bedrock are partner listings; Baidu’s Unlimited OCR 2 (27 Oct) is a document-parsing model, like Parse 5; inclusionAI’s LBS-27B is a narrow agentic post-train of Qwen3.8-27B, and its two singprobe checkpoints are probes, not models; Microsoft’s CogACT-v2-RoboDojo is a robot policy, a kind the list does not track; Kling 4.0 on Runway, Runware and other partners is a set of partner listings of a model listed from 15 Oct, and a reported ‘full launch’ was not confirmed; MiniMax-M3.1-Flash post-training on Together and its GGUF quantisations are not new models; Runway’s App Studio is an app and fal’s FLUX 3 Image Klein LoRA trainer a feature. ByteDance Dreamina’s DreamScript, Anycook and DreamShot and Cadence’s chip-design models were seen only in news reports, and no page of their makers was checked. Checked on 28 Oct: Liquid’s d1-2B and d1-Omni-2B are decision models, like d1-ultra (16 Oct); OpenBMB’s MiniCPM-OCR 1.0 is a document-parsing model, like Parse 5 and Unlimited OCR 2, and MiniCPM-OCR Jev a model that checks OCR output; Microsoft’s MAI Cyber 1.1 Flash is available only inside MDASH, its vulnerability-scanning harness, to verified customers, and MAI-Image-2.6 and 2.6-Flash reaching general availability in Foundry is the general release of models already listed; ElevenLabs’ Cue (28 Oct) is the forced-alignment model already behind every Scribe transcription and its Forced Alignment API, offered since July 2025; Gemini Robotics ER 2 in public preview on Google Cloud’s Gemini platform is a new surface for a robotics model Google introduced earlier; NVIDIA’s Metatron-v1 is a humanoid robot policy and Lightricks’ LTX-2-Marking a set of watermarking weights for LTX-2, kinds the list does not track; BAAI’s AREX-2, a deep-research post-train of Qwen3.8-27B, has had public weights since 29 Sep; Tripo-ImageToSplat in Model Studio, DeepSeek V4.1 Flash and GLM-5.3-Flash on Mistral’s cloud, Kling 4.0 on Pika, VEED Dubbing on fal and Grok 4.7 reaching general availability on Vertex AI are partner listings, and qwen3.8-flash in the Frankfurt and Hong Kong regions is a regional expansion; Mistral’s Responses API, Claude Duet, Mirendil’s Lor, Runway Ads, Cartesia’s Managed Agents and xAI’s Grok Bot are products and features, and Artificial Analysis’s Intelligence Index v5 is a benchmark; Mirendil-Base, the pretrained model of 21 Oct that Fern is built on, has no public access. Particle AI’s Particle-1, a post-train of DeepSeek V4.1 Flash, is new on OpenRouter and Vercel’s AI Gateway, but no page of its maker was checked; Cadence’s own post of 26 Oct, before this pass, names a Maestro AI Model Portfolio of engineering-design models, but cadence.com still refused reads; and Dreamina’s own feed says nothing of DreamScript, Anycook or DreamShot. These remain unverified. Checked on 29 Oct: Particle AI’s Particle-1 is now listed, from its maker’s blog and docs. Cadence’s Maestro AI Model Portfolio (26 Oct), read through the Wayback Machine because cadence.com still refused reads, says ‘The first Maestro models are available to select early access customers in the fourth quarter of 2026’, so it is not a release. ByteDance’s Jimeng short-drama studio, which IT之家 reported on 26 Oct with in-house DreamScript, Anycook and DreamShot models, is live on Jimeng’s site, but no Jimeng, Dreamina or ByteDance page names the three models and Dreamina’s own feed is silent; they remain unverified. GitHub’s Copilot Fusion (28 Oct) is ‘an intelligent runtime model router and orchestrator’ over Anthropic’s and OpenAI’s models, like MAI-DxO; ‘DeepSeek V4.1 Flash Cyber’ on LLM Gateway is an abliterated DeepSeek V4.1 Flash 1017 served by inference.net on an enterprise plan, not a DeepSeek model; SenseTime’s SenseNova 6.8 Code2Video (25 Oct) is a narrow code-to-video fine-tune of Qwen3.8-27B; Hugging Face’s Carbon-X (22 Oct) is a DNA model, a kind the list does not track; Moss-Image-Edit is an individual’s LoRA; IBM’s granite-speech-5.0-2b-ONNX is a format conversion, and the Nemotron Labs Dory 1.0 4B repositories changed only their generation config; OpenAI’s texting your dot and API credits for ChatGPT Pro and Business, Google’s Connected Apps and XREAL glasses, and xAI’s moderation guidelines in its API are features, products and hardware. A 29 Oct date for Qwen 4 from an account that is not Qwen’s, and talk of a Gemini model beyond Carbon, are rumours. IBM’s Granite Speech 5.0 2B (20 Oct) and KRAFTON’s Raon-1-mini-preview (21 Oct), seen in this pass, fall in the closed week of 15–21 October and were not checked. Checked in the second pass of 29 Oct: Tencent said at its Global Digital Ecosystem Summit on 29 Oct that Hy4, with visual understanding for the first time, will be released soon and Hy4 flash in the near future, but only press reports carry this and no Tencent page or post does yet, so it is not yet listed as an announcement. The China Meteorological Administration’s first Fengyun satellite AI models, for typhoon cloud-image interpretation and severe-convection warnings (29 Oct), are weather models, a kind the list does not track. inclusionAI’s Ling-3.0-flash-UBTree, announced with Ling-3.0-tiny-UBTree on 29 Oct, is also a speculative-decoding drafter; OpenBMB’s GPTQ, AWQ and DSpark repositories of MiniCPM-OCR 1.0 are quantisations and a drafter, and FlagOS bringing MiniCPM-OCR to ten more chip platforms is a port; Efficient-Large-Model’s Open-H3-Regenerate-2K (26 Oct) is a LoRA refinement pass for MiniMax-H3; and Microsoft’s rho-yam-box and rho-ur-ai-trainer repositories of 26 Aug only changed format. Kling 4.0 in Cloudflare’s AI Gateway is a partner listing; fal’s Motion to Code, which has MiniMax H3 Max animate a prompt or image and rebuilds the clip as GSAP or GLSL code, is a pipeline over existing models; precise editing in Ideogram 4.5 is a feature; and Apple Intelligence with Alibaba’s Qwen in China, reported by Leiphone, is a product. Fish Audio’s Drama 3 (13 Oct), an open-weight text-to-speech model whose weights were uploaded again on 29 Oct, and Articul8’s Bivia (28 Oct), a decision model, seen in this pass, fall in the closed weeks of 8–14 and 22–28 October and were not added. Checked on 3 Nov, for LongCat-2.5 only: it is the general release of LongCat-2.5-Preview (25 Sep) and, against the rule above, has its own row, because Meituan launched it as a new model with its own technical post and benchmarks. Nothing else from 30 October to 3 November was checked. Checked on 4 Nov, for Hy4 only: it is the general release of Hy4 preview (28 Aug) and, like LongCat-2.5 and against the rule above, has its own row, because Tencent launched it as a new model with vision and computer use added. Nothing else from 30 October to 4 November was checked. Checked from 29 Oct to 5 Nov, to 11:30 UTC: GPT-6 Rosalind (OpenAI, 30 Oct) is trusted access for life-science researchers to the same weights as GPT-6 Astra, per its system card, so it is not a new model; Kling 4.0 Flash reaching all users and Kling’s API on 4 Nov is the wider release of the model listed here from 28 Sep; Pika H3 Flex (29 Oct) is a LoRA adapter on MiniMax H3, per its model card; Deep Principle’s Hydrogen-1.0 is a scientific post-train of GLM-5.3, inclusionAI’s ZwZ2 an RL post-train of existing vision-language models, and Microsoft’s Mage-VL-Cowork a computer-use fine-tune of Mage-VL; Sarvam Prism (3 Nov) is a decision model built on Sarvam 105B, and ElevenLabs’ SFX v3 (29 Oct) makes sound effects, kinds this list does not track; Tencent Hunyuan’s HyInv and HyPLM-Flash (2 Nov) are protein models, and the HyCell and HyPDE models its Hy4 post calls open-sourced could not be found; ByteDance’s doubao-seed-evolving update on Volcengine Ark (5 Nov) keeps an existing model ID; Baidu’s Apollo World (shown 3 Nov) is a driving-simulation world model with no weights or API, and Mistral’s unnamed cyber variant of Large 4 (29 Oct) is a preview for chosen partners only; reports of Mythos 5.5 in Anthropic’s site code (1 Nov), GLM 5.5 in post-training (31 Oct, denied without a source from Z.ai) and a public Grok 5 API tier (31 Oct) have no source from the maker. NVIDIA’s NVFP4 builds of models already listed are new formats of released weights. Checked from 5 to 7 Nov, to 09:23 UTC: Inception’s Mercury 3 is now listed after all, from Inception’s post of 19 Oct; OpenAI’s GPT‑6 Cyber (5 Nov) is a cyber post-train of GPT‑6 Astra available only to approved Daybreak Red users, like Gemini 4 Argon Cyber Permissive and MAI Cyber 1.1 Flash; the specialised Muse models Meta described on 6 Nov have no names; ByteDance Seed’s Cola2 (Hugging Face, 6 Nov) is a research base model with no licence and no post from its maker; Nous’s Arete-27B is a fine-tune of Qwen3.8-27B and Sage-SciPerception a research projector; Index-Translate-omni (2B, 9B and 35B) is a translation fine-tune posted on 4 Nov; NVIDIA’s Nemotron 3.5 Parse DFlash2 is a speculative-decoding drafter dated 4 Nov, and its Cosmos3-Nano checkpoints are robotics and driving checkpoints of an existing family; Runway’s ‘Real-Time Video at Batch Size One’ (5 Nov) is an engineering post on serving Characters, and Microsoft’s Proof-Driven Development Kit is a toolkit. Reports of GPT-6.2 (including ‘gpt-6.2-betelgeuse’), Fable 5.5, Mythos 5.5, GLM-5.5, Doubao 3, Step 6 and a 10 Nov date for Qwen4 have no source from the maker. Checked from 7 to 8 Nov, to 11:02 UTC: Qoduck (7 Nov) is now listed after all, as a stealth model whose maker is not disclosed; testers’ claim that it is Qwen4 rests on a tokenizer match. Tencent’s Qwen3.8-27B-DSpine-b16 (Hugging Face, 7 Nov) is a speculative-decoding drafter; HySparse2 is a paper of 22 Sep; Liquid’s NVFP4 builds of LFM3 were posted on 24 Oct; the heading ‘Hy4 Flash Recently Released’ on Tencent’s Hy4 post sits over text that still calls it ‘scheduled for release soon’. Reports of a Gemini 4 ‘Hydrogen’, of claude-donut-eap, Silicon and Obsidian 3, of GPT-6.2 Astra, Sol and Bell and a delay to them, of GLM-5.5 sizes (called fake by a Z.ai researcher), of Kardashev-0.7 having shipped and of a 10 Nov date for Qwen4 have no source from the maker. Checked from 8 to 9 Nov, to 10:08 UTC: posts that GPT-6.2 or GPT-6.2 Sol is out or being served still have no OpenAI source, and OpenAI’s teaser of 8 Nov was for a ModRetro Chromatic console; Gemini for Google, seen by testers on 8 Nov, is the name of an enterprise agent, not a model; Cursor’s Composer 3 is still not in Cursor’s changelog or model docs; Efficient-Large-Model’s Open-H3-Regenerate-2K-IC (9 Nov) is another LoRA for MiniMax-H3; Qoder still calls Qoduck a stealth model of undisclosed origin, so posts calling it Qwen 4 remain guesses. EVALMAP · MODEL RELEASESContact: [support@evalmap.ai](mailto:support@evalmap.ai)No ads, no cookies, no accounts.Releases to 9 November 2026.[back to the atlas](https://evalmap.ai/) · [the jeep builds](https://evalmap.ai/jeep/) · [what changed](https://evalmap.ai/changelog/) · [small tests](https://evalmap.ai/tests/) · [EvalMapBench](https://evalmap.ai/evalmapbench/)