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Simon Willison·· 12 days agoAI score59

Introducing Mistral Large 4: Le chonk

Introducing Mistral Large 4: Le chonk

AI introduction

Mistral released a preview of Mistral Large 4, with 1 trillion total parameters and 49B activated parameters, trained on its own 3,800 NVIDIA Grace Blackwell GPUs. It is available via the Mistral API, with open weights promised by the end of the month.

Article · English

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:

It's good. The pouch is great, the bicycle frame is the right size, it has feet on pedals. Both pedals appear in front of the frame though. Nice gradients.

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.

Source: Simon Willison · simonwillison.net