Mistral Large 4

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.

Is there consensus on if this was https://openrouter.ai/stealth/space-bunny-alpha ?

Previous one is barely in top 50 on arena.ai

Since the Chinese companies publish their research it would have been odd if Mistral didn't start catching up.

where does sit on the pareto distribution compered to Le Chaton Fat?

>> Unofficially ML4, very officially: le Chonk

Honestly just nice to see a leader in this space not take themselves so seriously.

europe finally getting into the race here.

I mean no disrespect but these are terrible numbers or am I missing something? It seems like Mistral continues to only be relevant for people that want a model trained in Europe. Too bad.

wowza le models a heckin chonker

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

Looks like it's about a year behind still. i.e. its intelligence is behind models from roughly a year ago.

https://www.vals.ai/benchmarks/vals_index

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).

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?

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

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wow, another large language model from another company. groundbreaking.

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.

Not bad only two major releases behind top tier. Edit : checked its rather 3 generations behind . Oh well