The whole dayThu 29 Oct 2026
AI Compass

Mistral AI releases open weights for 1T-parameter Mistral Large 4

Mistral AI published the improved open weights of its natively multimodal Mistral Large 4 (Le Chonk) model on Hugging Face under a modified MIT licence, alongside API access at $0.70 per million input tokens and $2.10 per million output tokens.

Pixel-art Mistral AI logo, Hugging Face mascot, and orange pixel cat announcing Le Chonk (Mistral Large 4) on Hugging Face
Image: Hugging Face

Released on 29 October 2026 under the Mistral Ecosystem Open-Weight licence, Mistral Large 4 permits unrestricted self-hosting, fine-tuning, and internal enterprise deployment, while commercial Model-as-a-Service redistribution requires a separate licence from Mistral AI. Trained in Europe, the updated weights incorporate additional reinforcement learning post-training for multi-repository software engineering and defensive cybersecurity workflows, and expose three selectable reasoning effort modes: Low, Medium, and High (the default).

As illustrated in the Hugging Face release architecture diagram, the model pairs a native Pixtral vision encoder with 72 sparse Mixture-of-Experts decoder layers supporting roughly a 1 million token context window. Mistral AI renders its benchmark comparisons interactively in HTML on the announcement page rather than as static chart images, reporting first place among open models on Cognition’s FrontierCode 2.0, a tie with GLM-5.3 on the Artificial Analysis Coding Agent Index using nearly half as many tokens, and 30% lower output token usage on Terminal-Bench 4.0 than its preview checkpoint.

Architecture diagram of Mistral Large 4 showing the Pixtral vision encoder feeding 72 sparse Mixture-of-Experts decoder layers with a 1 million token context window
Mistral Large 4 pairs a Pixtral vision encoder with 72 sparse MoE decoder layers and a 1M-token context window.Image: Hugging Face

Key numbers

  • 19.7% on Cognition FrontierCode 2.0, ranking first among open-weight models.
  • 48% on the Artificial Analysis Coding Agent Index while consuming 47% fewer tokens than GLM-5.3.
  • 41% on Terminal-Bench 4.0, a 13 percentage point gain over the Mistral Large 4 preview checkpoint.

Sources

  1. PrimaryLe Chonk: Mistral Large 4 Open Weightsmistral.ai · Official announcement
  2. OfficialLe Chonk (Mistral Large 4) comes to Hugging Facehuggingface.co/blog · Architecture and weights guide
  3. OfficialMistral AI Pricingmistral.ai · La Plateforme API pricing
  4. On XMistral AI (@MistralAI) on Xx.com · Launch post

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03Coding agentGoogle

Google sets 31 December 2026 shutdown for Jules coding agent

Google announced on 29 October 2026 that its asynchronous GitHub coding agent Jules will turn read-only on 11 November 2026 and shut down permanently on 31 December 2026 as agentic development consolidates into Google Antigravity.

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