Mistral Large 4 (Le Chonk): Specs, Benchmarks and Open Weights

Mistral Large 4, nicknamed “Le Chonk,” is a natively multimodal mixture-of-experts model launched in public preview on October 6, 2026, with open weights planned for release later that month. Mistral describes it as having roughly 1 to 1.05 trillion total parameters, 49 to 52 billion active parameters, a 1.6-billion-parameter vision encoder, and a one-million-token context window, alongside function calling, structured outputs, agent APIs, and built-in tools. The company reports strong cybersecurity results, including an 82% score on a vulnerability reproduction-and-patching test and 93% on Cybench, arguing that its willingness to perform defensive security tasks distinguishes it from closed models that may refuse them. Mistral also reports mixed but competitive results in coding, business automation, knowledge work, and visual grounding, while noting that these are vendor-published preview benchmarks and outside reporting suggests it remains behind frontier models in some coding tasks. Open weights would allow organizations to self-host, modify, and govern the model under their own security and sovereignty requirements, but would also make them responsible for moderation, jailbreak resistance, and prompt-injection defenses. The text recommends evaluating applications before migration through regression testing, multilingual evaluation, hallucination checks, adversarial red-teaming, and verification of real tool-driven actions, highlighting TestMu AI tools for assessing both agent responses and the effects agents produce.

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