I think that this link is more helpful: https://mistral.ai/news/mistral-large-4/

Seems like it's multimodal and visual intelligence capabilities are better than Deepseek 4.1 Flash, even though coding is not equal to DS 4.1 1017. The cost is about 10x of Deepseek though comparing on OpenRouter.

Weights will be here https://huggingface.co/mistralai/Mistral-Large-4-1T-A52B at the end of the month.

Previous discussion: https://news.ycombinator.com/item?id=49977979 (2044 points 15 days ago, 1254 comments)

The weird thing about this model is that it spits out Chinese characters just like the chinese models when chatting with it in German. Happened to me quite often during the past few days.

I see Le Chaton Fat and press upvote, sure. But why? Wasn't it released already 2 weeks ago?

compared to Deepseek 1017, I'm not sure why I'd use this?

https://openrouter.ai/compare/mistralai/mistral-large-4-0/de...

Impressive if these benches hold up to real world use. Not groundbreaking, but certainly in the game.

Would love to see them release some smaller open-weight models.

52B active parameters and my qwen-3.8-flash-next model running at home is supposedly competitive? maybe I gotta test it to believe it. https://artificialanalysis.ai/models/comparisons/mistral-lar...

What's more impressive is the datacenter used for training. It shows you can get "sub-SOTA" for one tenth of the resources of SOTA.

"Covered by GDPR" is a very big plus for me. Also very simple training opt-out.

waiting for pelican bench results (the only benchmark that matters)