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OpenAI releases the GPT-Rosalind-6 system card addendum, offering restricted access for biological research
OpenAI releases the GPT-Rosalind-6 system card addendum. This model uses the same set of weights as GPT-6 Astra, with no new training data or post-training added, and is provided only through trusted access to vetted research institutions, enterprises, and government partners. At the highest reasoning budget, MedChemBench v7 averages 49.6% (GPT-Rosalind-5.5: 28.9%), GeneBench Pro v13 single-attempt success rate is 37.7% (previous generation: 16.7%), and LifeSciBench Gold average score is 61.3% (previous generation: 44.0%). Under the Preparedness Framework, this release is rated High capability in the biological and chemical domains, below the Critical threshold; rated Critical in the cybersecurity domain; and below High in AI self-improvement.
OpenAI releases the GPT-Rosalind-6 system card addendum. This model uses the same set of weights as GPT-6 Astra, with no new training data or post-training added, and is provided only through trusted access to vetted research institutions, enterprises, and government partners. At the highest reasoning budget, MedChemBench v7 averages 49.6% (GPT-Rosalind-5.5: 28.9%), GeneBench Pro v13 single-attempt success rate is 37.7% (previous generation: 16.7%), and LifeSciBench Gold average score is 61.3% (
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Mistral releases Mistral Large 4 (Le Chonk) weights on Hugging Face
Mistral released the model weights of the new version of Le Chonk (Mistral Large 4) on Hugging Face, targeting agentic coding and cybersecurity scenarios. Mistral claims that the model ranks first among open-source models on Cognition's FrontierCode benchmark and sets a new benchmark for Pareto efficiency on Artificial Analysis, while also improving inference efficiency and reducing inference costs. The model is also claimed to achieve SOTA in cybersecurity defense and has been tested by vendors such as CrowdStrike, Cloudflare, Rubrik, and Zscaler; users can customize and self-deploy it with Mistral Forge.
Mistral released the model weights of the new version of Le Chonk (Mistral Large 4) on Hugging Face, targeting agentic coding and cybersecurity scenarios. Mistral claims that the model ranks first among open-source models on Cognition's FrontierCode benchmark and sets a new benchmark for Pareto efficiency on Artificial Analysis, while also improving inference efficiency and reducing inference costs. The model is also claimed to achieve SOTA in cybersecurity defense and has been tested by vendors
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Mistral releases Large 4 and opens the model weights, with improved coding capabilities
Mistral has released the model weights of its flagship model Large 4 (ML4), which was previously available only as an API preview. After three weeks of testing by customers and cybersecurity partners and further training with reinforcement learning, ML4's success rate on Terminal-Bench 4.0 rose from 28% to 41%, and two new reasoning effort levels, Low and Medium, were added. Mistral research lead Pierre Stock said that at equivalent capability the new version uses about 50% fewer tokens than the preview; the weights became available for download on Hugging Face at 19:00 and are also offered through the Mistral API and the coding assistant Vibe.
Mistral has released the model weights of its flagship model Large 4 (ML4), which was previously available only as an API preview. After three weeks of testing by customers and cybersecurity partners and further training with reinforcement learning, ML4's success rate on Terminal-Bench 4.0 rose from 28% to 41%, and two new reasoning effort levels, Low and Medium, were added. Mistral research lead Pierre Stock said that at equivalent capability the new version uses about 50% fewer tokens than the
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NVIDIA Releases Speech Transcription and Translation Model Nemotron 3.5 Transcribe
On October 28, 2026, NVIDIA released the speech transcription and translation model Nemotron 3.5 Transcribe, supporting 40 languages including Japanese and capable of transcribing recordings up to 1 hour long. The model is an open-weight 30B MoE architecture that activates approximately 4B parameters during inference, can specify via text instructions whether to retain filler words and how numbers are written, and supports speaker diarization for up to 8 people and bidirectional Japanese-English translation. The weights are released on Hugging Face as NVIDIA-Nemotron-3.5-Transcribe-30B-A4B under the OpenMDW-1.1 license, with BF16, FP8, and NVFP4 versions and NeMo Speech fine-tuning tools provided.
On October 28, 2026, NVIDIA released the speech transcription and translation model Nemotron 3.5 Transcribe, supporting 40 languages including Japanese and capable of transcribing recordings up to 1 hour long. The model is an open-weight 30B MoE architecture that activates approximately 4B parameters during inference, can specify via text instructions whether to retain filler words and how numbers are written, and supports speaker diarization for up to 8 people and bidirectional Japanese-English
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Mistral Opens the Weights of Mistral Large 4, a 1-Trillion-Parameter Natively Multimodal Model
Mistral AI announced that it is opening the weights of its frontier model Mistral Large 4 (codename Le Chonk), which has 1 trillion parameters with 52 billion active parameters and native multimodal support. ML4 was trained in a European data center on 3,800 Nvidia Grace Blackwell GPUs, improving from 28% to 41% on Terminal-Bench 4.0, tying GLM-5.3 for the best coding-agent score while using an average of 47% fewer tokens per task. Open weights mean enterprises can deploy it on their own hardware and behind their firewalls, and the model offers three reasoning modes: low, medium, and high.
Mistral AI announced that it is opening the weights of its frontier model Mistral Large 4 (codename Le Chonk), which has 1 trillion parameters with 52 billion active parameters and native multimodal support. ML4 was trained in a European data center on 3,800 Nvidia Grace Blackwell GPUs, improving from 28% to 41% on Terminal-Bench 4.0, tying GLM-5.3 for the best coding-agent score while using an average of 47% fewer tokens per task. Open weights mean enterprises can deploy it on their own hardwar
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Google releases Gemini 4 Carbon, topping 15 of 17 benchmarks
Google has released Gemini 4 Carbon, a frontier model aimed at cybersecurity and long-horizon coding tasks, topping 15 of Google's own 17 benchmarks, but it has not yet been made public and is available only to some cybersecurity defenders. It scores 59 on Artificial Analysis' Intelligence Index, surpassing Claude Opus 5.5 and up 9 points from Argon four weeks ago; on long-input reasoning it leads OpenAI Astra and Opus by 24 points. The introductory API price is $2 per million input tokens and $10 per million output tokens, half that of Opus 5.5, doubling after the discount period to Opus's rates. Google has not announced when it will broaden access.
Google has released Gemini 4 Carbon, a frontier model aimed at cybersecurity and long-horizon coding tasks, topping 15 of Google's own 17 benchmarks, but it has not yet been made public and is available only to some cybersecurity defenders. It scores 59 on Artificial Analysis' Intelligence Index, surpassing Claude Opus 5.5 and up 9 points from Argon four weeks ago; on long-input reasoning it leads OpenAI Astra and Opus by 24 points. The introductory API price is $2 per million input tokens and $
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Mistral Releases Open Weights for Mistral Large 4 (Le Chonk)
Mistral has released the open weights for Mistral Large 4 (Le Chonk), a 1-trillion-parameter natively multimodal model that continues reinforcement learning on top of the preview version, with improved coding and defensive cybersecurity capabilities. It scores 19.7% on FrontierCode 2.0 and 48% on the Artificial Analysis Coding Agent Index, roughly on par with GLM-5.3, but uses an average of 47% fewer tokens per task; on Terminal-Bench 4.0 it improves by 13 percentage points to 41%. The model supports three reasoning modes, uses a modified MIT-based Mistral Ecosystem Open-Weight license, and is priced via API at $0.70 per million input tokens, $0.07 for cached input, and $2.10 for output.
Mistral has released the open weights for Mistral Large 4 (Le Chonk), a 1-trillion-parameter natively multimodal model that continues reinforcement learning on top of the preview version, with improved coding and defensive cybersecurity capabilities. It scores 19.7% on FrontierCode 2.0 and 48% on the Artificial Analysis Coding Agent Index, roughly on par with GLM-5.3, but uses an average of 47% fewer tokens per task; on Terminal-Bench 4.0 it improves by 13 percentage points to 41%. The model sup
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OpenAI Releases GPT-6.1 Terra, Priced 50% Lower Than the Previous Version
OpenAI has released a new model, GPT-6.1 Terra, priced at $1 per million input tokens and $5 per million output tokens, 50% cheaper than GPT-6.1 Sol's $2 and $10. OpenAI says the model is fast and efficient, combining visual reasoning with precise computer operation, and excels at tasks such as drafting proposals, filling out forms, and editing videos. This is OpenAI's fourth consecutive model price cut, and Anthropic also cut the price of Haiku 5.5 by 90% in October.
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DeepMind Releases Interactive World Model Genie 4
Demis Hassabis shared Google DeepMind's interactive world model Genie 4, saying it integrates real-time physics, reasoning, and audio capabilities. The official Google DeepMind account called it its most realistic and interactive world model to date, allowing real-time exploration of dynamic environments and observation of how scenes respond, produce sound, and how the people within them move, react, and speak. Hassabis also mentioned simulations nested within simulations.
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Google Releases Genie 4 World Model, Supporting Real-Time Control and Native Audio
Google releases the Genie 4 world model, calling it its most realistic and interactive world model to date. The model can control events, camera angles, and actions in dynamic environments in real time, generate native audio that matches the world, and use Gemini's reasoning capabilities to generate more coherent multi-step events. It is currently available as a research preview to trusted testers, and will later be offered to Google AI Ultra subscribers through Project Genie, and to early partners through the Gemini API and AI Studio.
Google releases the Genie 4 world model, calling it its most realistic and interactive world model to date. The model can control events, camera angles, and actions in dynamic environments in real time, generate native audio that matches the world, and use Gemini's reasoning capabilities to generate more coherent multi-step events. It is currently available as a research preview to trusted testers, and will later be offered to Google AI Ultra subscribers through Project Genie, and to early partn
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Ant's Ling 3.1 Flash 1019 Open-Sourced, Intelligence Index Rises to 44
Ant Group's AntLingAGI has released Ling 3.1 Flash 1019, an updated version of Ling 3.1 Flash, scoring 44 on the Artificial Analysis Intelligence Index v4.3, up from 41 for the previous generation. The model is a reasoning model with 560B total parameters and 25B activated parameters, supports a 1M token context window, is released under the MIT license, is available as open weights on Hugging Face, and can be accessed via InclusionAI's first-party API. In terms of agentic capabilities, AA-Briefcase v1.1's Elo rose from 1397 to 1521, GDPval-AA v2.1 rose from 1617 to 1653, and AutomationBench-AA rose from 62% to 68%; Humanity's Last Exam rose from 39% to 43%, and CritPt rose from 18% to 26%. Output tokens per task increased to 145k, up from 103k for the previous generation, with a cost of $1.49 per task and pricing of $0.30 per 1M input tokens and $0.90 per 1M output tokens.
Ant Group's AntLingAGI has released Ling 3.1 Flash 1019, an updated version of Ling 3.1 Flash, scoring 44 on the Artificial Analysis Intelligence Index v4.3, up from 41 for the previous generation. The model is a reasoning model with 560B total parameters and 25B activated parameters, supports a 1M token context window, is released under the MIT license, is available as open weights on Hugging Face, and can be accessed via InclusionAI's first-party API. In terms of agentic capabilities, AA-Brief
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Google DeepMind releases the world model Genie 4, natively generating sound and dialogue for the first time
Google DeepMind has released Genie 4, a new-generation general-purpose world model. For the first time in the Genie series, it natively generates ambient sound and improvised character dialogue, doubles the duration of a single coherent world to about 2 minutes, and renders real-machine footage at about 24 frames per second. The model uses Gemini 3.8 Flash to perform multi-step reasoning and control in the background and Gemini 4 Argon to break down action instructions, forming a hybrid world model architecture. It has opened beta applications to Google AI Ultra users and is also available in the Gemini API and Google AI Studio.
Google DeepMind has released Genie 4, a new-generation general-purpose world model. For the first time in the Genie series, it natively generates ambient sound and improvised character dialogue, doubles the duration of a single coherent world to about 2 minutes, and renders real-machine footage at about 24 frames per second. The model uses Gemini 3.8 Flash to perform multi-step reasoning and control in the background and Gemini 4 Argon to break down action instructions, forming a hybrid world mo
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Liquid AI Releases Six 2B-Class Open-Weight Models in the LFM3 Series
On October 27, Liquid AI released the LFM3 series. All six 2B-parameter-class open-weight models branch from the same LFM3-1.7B-Base, covering text, vision, audio, omni-modal, and decision models. LFM3-1.7B has 1.73B parameters, a 256K token context, supports 16 languages, and adopts a Tri-Hybrid architecture with 13 layers of gated short convolutions, 5 layers of sliding-window attention, and 6 layers of global attention. It is available under the LFM Open License v1.0 on Hugging Face, the Liquid AI Playground, and via API. The company claims that LFM3-1.7B surpasses LFM2.5-2.6B with 35% fewer parameters and occupies about 1 GB of memory at 4-bit precision, but the model card states that it is not suitable for agentic coding or complex multi-step reasoning.
On October 27, Liquid AI released the LFM3 series. All six 2B-parameter-class open-weight models branch from the same LFM3-1.7B-Base, covering text, vision, audio, omni-modal, and decision models. LFM3-1.7B has 1.73B parameters, a 256K token context, supports 16 languages, and adopts a Tri-Hybrid architecture with 13 layers of gated short convolutions, 5 layers of sliding-window attention, and 6 layers of global attention. It is available under the LFM Open License v1.0 on Hugging Face, the Liqu
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Microsoft MAI-Image-2.7-Preview ranks second on AA-Image-Editing v2.1
Microsoft AI has released the image editing model MAI-Image-2.7-Preview, which ranks second on Artificial Analysis's AA-Image-Editing v2.1 leaderboard, behind only OpenAI's GPT Image 2.5 Sunburst (max). The model outperforms MAI-Image-2.6 on all 7 evaluated editing actions, with the largest improvement in composition and framing (+57 Elo), followed by text or symbol editing +49 and scene and style editing +48, and it ranks first in 4 categories: scene and style editing, text or symbol editing, reasoning-based editing, and enhancement and restoration. The model currently offers image editing only in the MAI Playground, with text-to-image functionality said to be coming soon.
Microsoft AI has released the image editing model MAI-Image-2.7-Preview, which ranks second on Artificial Analysis's AA-Image-Editing v2.1 leaderboard, behind only OpenAI's GPT Image 2.5 Sunburst (max). The model outperforms MAI-Image-2.6 on all 7 evaluated editing actions, with the largest improvement in composition and framing (+57 Elo), followed by text or symbol editing +49 and scene and style editing +48, and it ranks first in 4 categories: scene and style editing, text or symbol editing, r
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