Mistral Large 4

(docs.mistral.ai)

180 points | by funnym0nk3y 1 hour ago

11 comments

  • Flux159 40 minutes ago
    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.

    • Systemerror7A69 35 minutes ago
      It's gonna be interesting to see the final version, since this is a preview model still. I'm not completely sure as to how this works, but from what I gathered it will be further trained during this period, so it might improve a bit.

      Since cost is so much higher than deepseek though it really seems like the biggest reason to use it would be "in the mistral subscription" for personal use or "because you need to abide by european data privacy laws" for companies.

      Mostly I'm happy they're still in competition, as I mentioned already elsewhere.

      • erkt 11 minutes ago
        Are they still in competition? Or are they a government sanctioned monopoly? I’m not sure that will be competitive. There are no market forces to do so but pride.
        • OKRainbowKid 0 minutes ago
          Which government? Sanctioned how? What stops other European companies from competing with Mistral? Is the situation better in the US?
  • yorwba 44 minutes ago
    Previous discussion: https://news.ycombinator.com/item?id=49977979 (2044 points 15 days ago, 1254 comments)
  • nik736 20 minutes ago
    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.
    • speedyStuff_ 4 minutes ago
      Opus 4.8 and Fable 5 did the same; they would output random Chinese characters and then say “I made a typo, let me fix it” and it’s just them removing that stay Chinese characters. Haven’t seen this since 5.1 family of models.
      • c0rruptbytes 0 minutes ago
        i’ve seen it and Cyrillic in the 5x family
      • paulddraper 1 minute ago
        I saw it in earlier Claude models, but I haven't seen it for a least 7-8 months.
    • bigwheels 12 minutes ago
      Does this suggest Mistral is distilling Deepseek et. al.? Can distillation keep passing through with high fidelity, or is it lossy like copying a VHS tape?
  • jakswa 7 minutes ago
    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...
  • andix 36 minutes ago
    I see Le Chaton Fat and press upvote, sure. But why? Wasn't it released already 2 weeks ago?
    • wojtek1942 27 minutes ago
      Some details and benchmarks were announced but the weights didn’t get released
      • ismailmaj 18 minutes ago
        Still 9 days before the release of weights apparently.
    • Betelbuddy 25 minutes ago
      Le Chaton Fat is a lovely name. I predict the next Michelin restaurant with will have an LLM as the Chef...
  • moecables 46 minutes ago
    compared to Deepseek 1017, I'm not sure why I'd use this?

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

    • Systemerror7A69 39 minutes ago
      Well, Models are hard to just distill down to a single benchmark number, or even a few across multiple different benchmark - they all behave and work slightly differently and you can find some who work or feel better for you and your use-case specifically.

      But you're right, Mistral Large 4 seems a much more expensive but overall weaker model across the board.

      The reason to use them would be, well, because they're...Mistral. They're in EU, france is large in nuclear energy so the energy cost of training has much less of an environmental impact, the data protection laws are very good in EU. This can really be a deciding factor for many EU companies, and I think it's good that they now have something which is at least semi-usable. (apparently)

      It's also good that other options exist, even if they are worse. Deepseek is kind of like a large specter looming over every model release, because it's just SO cheap and good. That doesn't mean we should abandon every other model.

      Still, the model is not really competitive on price and abilities alone. I'm mostly happy to see Mistral still in the fight.

      • petercooper 35 minutes ago
        I say this with a slight tongue in cheek, but Mistral does have a better option: they recently added GLM 5.3 to their platform (and it works rather well). Not trained in the EU, though, of course ;-)
        • Systemerror7A69 13 minutes ago
          Yeah, absolutely true. And I am guilty of simply using Mistral as a GLM subscription myself. I just really like the GLM 5.3 model.

          I will see where Chonk is better though, since you have both options in one subscription.

    • serioussecurity 44 minutes ago
      If you're required to use a European model
      • walrus01 41 minutes ago
        Interestingly Mistral has been selling GLM5.3 inference hosted in Europe on their own hardware, for those who are OK using a "not developed in Europe" model but run on hardware located in and controlled by a European corporation.

        https://docs.mistral.ai/models/zai-glm-5-3

        • traceroute66 10 minutes ago
          > for those who are OK using a "not developed in Europe" model but run on hardware located in and controlled by a European corporation.

          For the record this is also possible in Europe on Privatemode[1] which also gives you enclave-based processing. And access to GLM-5.3 Flash as well as GLM-5.3

          [1]https://www.privatemode.ai/

        • frotaur 39 minutes ago
          Indeed, I see no difference between a chinese model hosted in Europe vs a Europe-grown model.

          You could argue that potentially you can train a backdoor into a foreign-grown model (that has been demonstrated to be possible in toy examples), but I would highly doubt that this would be the case today, given the potential reputational damage if discovered.

          • traceroute66 2 minutes ago
            > you could argue that potentially you can train a backdoor into a foreign-grown model

            If we're wearing tinfoil hats then do we know the NSA have not planted stuff in Anthropic and OpenAI anyway ? ;)

            I think the Chinese would be happy enough to see OpenAI and Anthropic suffer because people discover open-weights can get you most of the way there for a fraction of the cost.

            You don't have to target the end users. Economic impact on the US providers would be sufficient.

            The Chinese are also no doubt seeking to play the long game of hoping to (eventually) rebalance the US-centric world order in an Easterly direction.

          • kolinko 21 minutes ago
            Remember Stuxnet? An american worm that was completely benign, travelled on usb drives in hiding, and only activated when it guessed that it's on Iranian plants, and iirc changed very subtly some very specific parameters of operations.

            Here, with a chinese model, it would be even simpler - you finetune a model to activate certain operations when it discovers certain environments, but to behave completely normal otherwise. Kind of like a sleeper agent. And with current tech we wouldn't even be able to spot this.

            • traceroute66 0 minutes ago
              > And with current tech we wouldn't even be able to spot this.

              Meanwhile Anthrophic, OpenAI & Co can't even manage to stop their LLMs from hacking into stuff until they discover it after the event.

              What happened to people's ability to implement basic security architectures like sandboxing etc ?

          • debugnik 32 minutes ago
            Didn't we get a submission today about Qwen3-Coder producing more bugs when hinted on the user having different ideology than the Chinese government?

            Ok I see it's flagged now, probably fake, but the fact that it's possible does make me feel uneasy about both Chinese and US models.

            • verdverm 25 minutes ago
              It was so insignificant, it could be equally described by the non-determinism inherent in the models. And that it reads more like a marketing piece.

              That's my read anyhow. It's been flagged. The whole thing is kind of rich, considering the Israeli roots of the company.

              https://news.ycombinator.com/item?id=50179706

            • walrus01 28 minutes ago
              I recall seeing something about that. I don't know of anyone still using such an ancient model when much newer Qwen 3.5-120, 3.6-35B-A3B, 3.8-27B and 3.8-flash-next all exist and score much higher on all conceivable metrics. I would like to see if anyone can replicate the same thing on a 'current' Qwen released in the past 6 months.
          • IshKebab 26 minutes ago
            > I see no difference between a chinese model hosted in Europe vs a Europe-grown model.

            Really? Fascinating. Do you know about Tiananmen Square, the great firewall of China, etc?

            • Muromec 3 minutes ago
              DS4 hosted by deepseek used through the API doesn't have a problem talking about tiananmen square and Uyghurs, but it thinks it's Claude when it speaks about it. I'm not sure what it all means. That was on v4-pro before the 4.1 switch, so may or may not be reproducable.

              Add: I was surprised by the fact that the LLM itself doesn't know it's identity unless the system prompt mentions it.

    • ex1fm3ta 39 minutes ago
      if you care about data-retention policy or you have to use european models ...
    • andix 35 minutes ago
      Patriotism.
      • lwansbrough 23 minutes ago
        Well when your greatest ally acts like an adversary, who can blame them for the increased sovereign focus?
  • skohan 18 minutes ago
    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.

  • maelito 19 minutes ago
    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.
  • codeulike 11 minutes ago
    "Covered by GDPR" is a very big plus for me. Also very simple training opt-out.
  • dropbox_miner 20 minutes ago
    waiting for pelican bench results (the only benchmark that matters)