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Mistral AI opens the Le Chonk model weights

Mistral AI announced the open release of the model weights for a new version of Le Chonk, saying it advances the open frontier in agentic coding and cybersecurity. The model ranks first among open models on Cognition's FrontierCode and sets a new benchmark for Pareto efficiency on Artificial Analysis; on cybersecurity it claims state-of-the-art, having been tested by vendors including CrowdStrike, Cloudflare, Rubrik, and Zscaler. The weights can be downloaded on Hugging Face and customized and deployed with Mistral Forge. Arthur Mensch reposted and said progress over recent weeks has been good, and now the weights are open.

Mistral AI Opens the Mistral Large 4 Model Weights: 1T Parameters, 49 Billion Activated Parameters

On October 29 local time, Mistral AI officially opened the model weights of Mistral Large 4 (codename le Chonk). This is a natively multimodal model with 1 trillion total parameters and 49 billion activated parameters, trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in its own data center in Europe. The company says it scores 48% on the Artificial Analysis Coding Agent Index, roughly on par with GLM-5.3, but consumes 47% fewer Tokens per task on average. The model is released under a modified MIT license: personal, academic, fine-tuning, and conventional commercial use are free, while cloud providers offering MaaS resale need to obtain a separate commercial license; online API pricing is $0.70 per million input Tokens and $2.10 per million output Tokens.

Mistral AI and NVIDIA Partner to Advance AI for Industrial Engineering

Mistral AI announced a partnership with NVIDIA to bring AI to industrial engineering, including faster simulation, open benchmarks and supporting datasets for physical AI, and evaluations of agentic AI in CAE and EDA scenarios. Mistral's models will also be integrated into the NVIDIA Omniverse libraries for GPU-accelerated 3D scene generation.

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