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Mistral Large 4: "Le Chonk"

Mistral Large 4: "Le Chonk"

j-bu

Comments (69)

  • xpct
    I don't know why, but I personally find Mistral's marketing strategy much more appealing than that of other companies.For example, there's something about Anthropic's picked design and their little Claude avatars that's unsettling to me.
  • vessenes
    Very nice progress. Also I respect putting Kimi on those charts. Regardless of if they are beating the Pareto frontier (not now), model diversity is a good thing for humanity — I’m hopeful for the team to keep increasing their gains.
  • 0xbadcafebee
    [delayed]
  • danslo
    Open weight, European, competes with GLM-5.3 on cybersecurity. What's not to like?
  • chevman
    This is awesome, one of the coolest Pokemon ever too for those that don't follow that universe :)https://bulbapedia.bulbagarden.net/wiki/Lechonk_(Pok%C3%A9mo...
  • duiker101
    The main thing I always get away from the comparison tables of these "big" models, is how well Deepseek v4.1 Flash performs. While still being the cheapest model by a long shot.
  • DevKoala
    One step closer to Le Chaton Fat.
  • ktosobcy
    Awesome!All things considered I'm more inclained to pay for EU-based AI in the end (supporting local company and most likely being more aligned with EU regulations…)
  • rglover
    Excited to try this. The low costs v. benchmarks alone here are worth a serious test. K3 has been my daily driver for a month or two now and it's dramatically reduced token spend (while not having much of a negative impact on productivity).This was the era of the AI race I was waiting for.
  • bartstp
    How could I resist switching to a model named after my cat!?
  • blauditore
    What's up with the name? It reminds me of my teenage self trying to speak in funny memes.
  • amelius
  • londons_explore
    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.
  • brendong
    Is the reason for the massive gains in certain benchmarks due to distillation from the other lead models hence the slightly "under" pattern seen in the comparison charts?
  • carodgers
    Without exaggeration, given a choice between models, I would pay for Mistral's model over Anthropic's based on the name alone, completely ignoring features or other technical considerations. The name is playful and is such a refreshing contrast to Anthropic's (and OpenAI's) doomsaying, scaremongering, and god-posturing.
  • juliennakache
    Is that a reference to LeChuck in Monkey Island? Love that game!
  • aennassiri
    Excited to see this! Nice that they are saying this is just a first step.Give them more compute!
  • taspeotis
  • timcobb
    > Trained from scratchHow are they training without pirating the Z library corpus and all that?
  • maz1b
    I'm glad they're keeping at it!
  • tosh
    sorting the charts like that gives off weird vibes
  • theturtletalks
    A bit disappointing to see it still lagging behind Chinese open models. Those Chinese models are pushing proprietary models to raise the bar, but we need equally strong non-Chinese open models to challenge the Chinese ones in turn.
  • redanddead
    better than K3 and DS4, cool
  • ChrisArchitect
  • charcircuit
    >Frontier performance* proceeds to not compare to Opus 5.5
  • Razengan
    Awh I was half expecting a zombie pirate..
  • clavicle1009
    YES finally
  • spwa4
    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.
  • baggachipz
    Now THAT'S how you name a model. Take note, others.
  • __natty__
    [flagged]
  • catlover76
    [dead]
  • plastic-enjoyer
    [flagged]
  • sinan-faizal
    i subbmitted a partnership proposal in your contact.