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Introducing Mistral Large 4: Le chonk

Summary

Mistral has released a preview of Mistral Large 4, a 1 trillion parameter model with 49 billion active parameters trained on its own cluster of 3,800 NVIDIA Grace Blackwell GPUs. The API preview is live with open weights promised by the end of the month, and its Artificial Analysis score of 38 is a huge jump from Mistral Large 3's 9 — though still roughly six months behind the frontier.

Introducing Mistral Large 4: Le chonk
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Introducing Mistral Large 4: Le chonk

Simon Willison’s Weblog

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6th October 2026 - Link Blog

Introducing Mistral Large 4: Le chonk (via) Mistral are back in the game. Today they're releasing a preview of Mistral Large 4, a 1 trillion parameter, 49 billion active parameter model trained on their own cluster of 3,800 NVIDIA Grace Blackwell GPUs.

The preview is available via their API. They promise to release the open weights model at the "end of this month".

The model only supports two reasoning levels - "none" and "high" - via the Mistral API. Here are both pelicans - the "high" one looks better, though surprisingly it only used 2,717 output tokens compared to "none" which used 3,275:

On Artificial Analysis it scores 38, just behind DeepSeek 4.1 Flash, which is a 552B model. It's a huge improvement on last December's Mistral Large 3, which drew this terrible pelican and scored 9 on AA.

It's certainly not a Fable-class model, but it's great to see Mistral put out a model that's back to being maybe about 6 months behind the frontier.

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This is a link post by Simon Willison, posted on 6th October 2026.

ai 2,263

generative-ai 2,006

llms 1,973

mistral 67

pelican-riding-a-bicycle 147

llm-release 234

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Key points and analysis

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Key points

  • 1T total parameters and 49B active parameters, trained on Mistral's own cluster of 3,800 NVIDIA Grace Blackwell GPUs
  • API preview is live now, with the open weights release promised for the end of the month
  • Only two reasoning levels via the Mistral API — "none" and "high"; the "high" pelican looks better yet used just 2,717 output tokens versus 3,275 for "none"
  • Scores 38 on Artificial Analysis, just behind the 552B DeepSeek 4.1 Flash and far ahead of Mistral Large 3's score of 9 in December 2025

Highlights and analysis are generated automatically and may contain errors. Check the original source.