Mistral Large 4

wowza le models a heckin chonker

Awh I was half expecting a zombie pirate..

YES finally

Anyone have any indication when I can get my hands on a developer plan for this?

Don't believe Mistral. They're wrong. It's really called "Le chaton fat".

Also 1T-A49B. Weights currently closed but promise to open source them by the end of the month.

Great release movie.

Woah, this seems like a big deal (assuming the benchmarks are as good as claimed)?

Mistral slightly proving me wrong (and I'm not mad).

Now THAT'S how you name a model. Take note, others.

quick question why put GLM 5.3 at 61 while a quick check on DeepSWE 1.1 puts it at 69?

also they forgot muse spark at 75% while claiming they were outshining all US models?

>Frontier performance

* proceeds to not compare to Opus 5.5

Can we consolidate the posts? Currently there's 3 on the front page, basically all pointing to Mistral's messaging in different places.

49b active parameters sounds manageable until you look at the 1t total weights. what hardware does a usable self-hosted setup actually need, especially once you add a long context?

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We are so back

Does Mistral ever advance the state of the art on any dimension?

And if not, why do they exist?

Update: The number of people advocating not innovating is wild. There is no reason why Mistral cannot innovate in ML, they explicitly choose not to. My point is that, given that choice, they should spend their GPU hours differently.

"Sovereign AI" is a joke, there is no substantive difference between a post-trained open weight model from an American or Chinese company and what Mistral is doing today, beyond spending 80% of their GPU hours reproducing a last-gen model's pretraining.

i subbmitted a partnership proposal in your contact.

Mistral wont win the AI race because of the model names. I wont bother an arrogant Parisian hipster with my insecure prompts who then plays with his moustache and responds with a judgmental "pfff"

Finally, a model small enough to self-host on my 2012 MacBook Air if I don't mind my house reaching room temperature in 2 seconds.

Still a long way behind closed models sadly :-( The gap between open and closed seems the biggest it's been for a year or two.

I try to stay up on AI models, but I've given up on Mistral. I have tried using it too many times and it's the worst out of major models. Even Kimi and DeepSeek are miles ahead.

Seems like it's another European company that is only alive through government financing.

I understand wanting a home grown industry, but with AI models, just abliterate a DeepSeek model.

Total misunderstanding of the industry. Europe needs hardware, not a model that needs to be replaced monthly.