Simon Willison 博客 · 10/6/2026, 8:18:19 PM
Mistral Releases Preview of Mistral Large 4: A 1T Parameter MoE Model
Mistral AI has released a preview of its flagship model, Mistral Large 4, featuring a Mixture-of-Experts architecture with 1 trillion total parameters and 49 billion active parameters. Currently accessible via API with open weights promised by month-end, the model scores 38 on Artificial Analysis benchmarks, trailing DeepSeek 4.1 Flash but showing significant improvement over previous generations.
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Introducing Mistral Large 4: Le chonk
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.
Via Hacker News
Tags: ai, generative-ai, llms, mistral, pelican-riding-a-bicycle, llm-release