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Mistral Large 4 follow-up: an improved release with more RL after preview, pitched for cyber defense, scores 48% on Coding Agent Index (reported)

Announced October 29, 2026

Verified (fact)

According to TechCrunch, Mistral AI released the weights of Mistral Large 4, a 1T-parameter model, and pitched cybersecurity as a main use case. According to a GeekNews summary, these weights are an improved version that received additional reinforcement learning after the public preview to boost coding, defensive cybersecurity, and inference efficiency. On the Artificial Analysis Coding Agent Index it scored 48%, nearly the same as GLM-5.3.

Needs fact-check (claim)

Mistral claimed that because the model is open-weight, organizations can keep direct control over their cyber defense, an advantage closed models struggle to offer (as relayed by TechCrunch).

Why it matters (interpretation)

Mistral made the case that open-weight models can be an alternative to closed models in security its key message. On the coding agent metric, it joined GLM-5.3 at the top tier of open-weight models.

Confidence medium · official source pending

Sources

Story thread

  1. 2026-10-29 Mistral AI releases open weights for Mistral Large 4 ('Le Chonk'), a 1T-parameter multimodal MoE with 49B active per token, trained in its own European data center
  2. 2026-10-29 Mistral Large 4 follow-up: an improved release with more RL after preview, pitched for cyber defense, scores 48% on Coding Agent Index (reported)

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