Mistral launched a public API preview of Mistral Large 4, a 1-trillion-parameter multimodal model it calls "le Chonk." The weights are not downloadable yet; Mistral says it will release them by the end of October. The company says the model significantly outperforms any open-weight model developed in the US or Europe.
Wrong: headline and story said Mistral released Large 4 ("le Chonk") as an open model, said the preview was limited to developers, cybersecurity leaders and state authorities, and said it was trained on 4,000 GPUs. Right: Mistral launched a public API preview on October 6 and says the open weights are due by the end of October; cybersecurity leaders, vetted partners and state authorities are red-teaming it with expanded access; Mistral says it was trained on 3,800 Nvidia Grace Blackwell GPUs.
Open-weight models allow modification and self-hosting, unlike closed systems from OpenAI and Anthropic.
https://x.com/MistralAI/status/2107457414387622310
Chinese open models have led in capability and adoption, prompting Western developers including Mistral to accelerate efforts.
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Anthropic has launched the Anthropic Cyber Mission to support defenders of critical infrastructure and open-source software with models, engineers, and tools. The initiative starts with the Critical Infrastructure Defense Program and free OSS Scanner amid ongoing challenges in verifying and fixing vulnerabilities.
Anthropic released Claude Haiku 5.5, its cheapest and fastest small model, at $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100,000 tokens. Anthropic says it costs around 75% less to run than Haiku 4.5 on average and scores far higher on its benchmarks.
OpenAI released 722 mathematical manuscripts, grouped into 372 result families, produced by an unreleased internal model. The papers are on GitHub, with Lean formalizations for many but not all of them, and OpenAI warns some unformalized results could have issues.
Meta and Microsoft are cutting employee use of Anthropic’s Claude AI and directing staff toward their own coding tools, The Information reported. The changes reflect tighter internal AI budgets while customer access to Claude through Microsoft platforms continues to expand.
Microsoft has introduced a local edition of MAI-Code-1.1-Flash that runs on Windows PCs without server access. The model requires substantial memory and is coming to GitHub Copilot in experimental preview by the end of October, starting with Nvidia RTX Spark PCs.
