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Simon Willison·· 8 天前AI 评分66

Mistral 发布 Mistral Large 4 预览版:1 万亿参数、490 亿激活参数

Introducing Mistral Large 4: Le chonk

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Mistral 发布 Mistral Large 4 预览版,这是一个 1 万亿参数、490 亿激活参数的模型,在自有的 3800 块 NVIDIA Grace Blackwell GPU 集群上训练,已通过 Mistral API 提供,并承诺于本月底发布开放权重版本。

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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:

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.

来源:Simon Willison · simonwillison.net