Mistral Large 4: open weights for a 1T multimodal flagship built for coding and cybersecurity
Mistral released downloadable weights for Large 4 (Le Chonk), a ~1T-parameter MoE with 49B active parameters, 1M-token context and native multimodality, under a modified-MIT open-weight licence.
Why it matters
The strongest open-weight model built outside China on current independent tests, with 41% on Terminal-Bench 4.0 and 97.1% attack resistance on the B3 security benchmark, now self-hostable via vLLM or SGLang.
What you could build with it
A cybersecurity consultancy could run the model on its own servers to triage vulnerability reports and draft patches for client codebases, keeping sensitive code in-house instead of sending it to a hosted API.
Does it hold up?
Usable day one through the API or self-hosted with vLLM/SGLang recipes, but the 1T size means real self-hosting needs serious GPU capacity, and independent evaluations beyond vendor numbers are still pending.
Built with Mistral Large 4
- Mistral Large 4 model page with vLLM, SGLang and llama.cpp deployment recipes and a community demo galleryhuggingface · Official weights page listing inference and fine-tuning integrations plus demo Spaces built with the model.
- Mistral opens 1T 'Le Chonk' Large 4 under modified MIT licenseblog · Independent coverage of the benchmark claims and the Model-as-a-Service carve-out in the licence.
- Mistral opens Large 4 weights for coding and securityblog · Launch-day analysis covering the cyber variant, API pricing and NVIDIA NIM serving.
Learn more
First spotted on hf: source.
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