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Mistral releases Mistral Large 4, dubbed “le Chonk”, a 1T-parameter open-weight model for general agentic capabilities, trained on 4,000 Nvidia Grace Blackwells

Most flagship models dominating the market are from frontier labs and are closed models.  French AI lab Mistral seeks to change that with its latest model.

The Deep View Sabrina Ortiz

Context & Ripple Effects

Mistral has been building its lineup across deployment sizes and workloads: on-device Ministraux models targeted local use, while its 2025 Devstral release pushed coding capability into much larger infrastructure footprints. Small 4’s unification of reasoning, multimodal and coding capabilities established the product direction toward a single general-purpose system.

Large 4 takes that direction to flagship scale and makes open weights central to Mistral’s challenge to closed frontier-model suppliers. Its training run on roughly 4,000 Grace Blackwell GPUs also makes compute access a visible part of the company’s competitive posture.

First-order effects

  • Developers and enterprise buyers evaluating agentic systems gain a Mistral open-weight flagship option rather than being limited to closed models for that capability tier.
  • Mistral shifts its flagship pitch from the 123B-parameter Large 2 generation toward a substantially larger multimodal model, raising the stakes for its model distribution and support ecosystem.

Second-order effects

  • Closed-model providers face a sharper comparison on deployment control as buyers can weigh Mistral’s open weights against proprietary API access for general agentic workloads.
  • Nvidia gains a prominent European training deployment for Grace Blackwell, reinforcing the hardware platform’s relevance to frontier-scale model development.

Third-order effects

  • If Large 4’s claimed capability holds up in deployment, frontier AI competition will increasingly turn on whether customers can combine high-end performance with control over model weights and operating environments.
  • The market may split less cleanly between open and closed models: open weights can widen model access, while durable differentiation moves toward tooling, integration and governed deployment around the model.

The trend: Frontier AI is moving toward a contest between closed-model services and open-weight systems that seek to offer comparable capability with greater buyer control.

Discussion

  • @mistralai @mistralai on x
    Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed…
  • @guillaumelample @guillaumelample on x
    Today, we are launching a preview of our new model, Mistral Large 4 (ML4), aka le Chonk 🐈. ML4 is a 1T-parameter model with 49B active parameters, trained natively with multimodal capabilities. It is at the frontier of open models, and by far the strongest open-weight model from …
  • @sebjohnsonuk Seb Johnson on x
    “best open weights model from US or Europe on aggregated benchmarks” NICE
  • @nvidiaaiinfra @nvidiaaiinfra on x
    Frontier scale, built in Europe. Nearly 4,000 NVIDIA Grace Blackwell Superchips powered the training of Mistral Large 4, now in public preview. Congrats to the @MistralAI team 🙌
  • @synthwavedd Leo on x
    🚨🚨🚨 Le Chaton Fat is here
  • @qtnx_ @qtnx_ on x
    after a long wait, le chonk is out! i'm very proud to have had a (small) hand in making it good at code and cyber :) weights on HF later this month!
  • @aibattle_ @aibattle_ on x
    Mistral Large 4 scores 62% on DeepSWE v1.1 Source: Venturebeat
  • @lexnlin Leon Lin on x
    this still means that China is leading on open weights models
  • @angaisb_ Angel on x
    Wait, Mistral might be actually back?
  • @simonw Simon Willison on x
    Mistral can pelican now! https://tools.simonwillison.net/ ...
  • @obrien Chris O'Brien on x
    Good god, if Mistral actually reaches the frontier again...what will the Euro Doomer Porn crowd have to bitch about on this website?
  • @natolambert Nathan Lambert on x
    A chonky week for Western open models!
  • @fj@mastodon.social @fj@mastodon.social on mastodon
    Mistral Large to become the leading model for incident response?  —  “On one of the index's tests, which asks a model to reproduce a real vulnerability in open-source software and then patch it, ML4 scores 82%, the highest of any model.  [...] That top score reflects a practical …
  • r/SillyTavernAI r on reddit
    Mistral Large 4 just dropped on Mistral Studio API
  • r/LocalLLaMA r on reddit
    Introducing Mistral Large 4 (Preview)
  • r/accelerate r on reddit
    Mistral is back.  Introducing Large 4.  Le Chonk
  • @albertqjiang @albertqjiang on x
    Some things to say about this model: 1. It's a good model in the actual usage sense. I've understood so much about Lacan and Merleau-Ponty in the last two days 2. I spent a non-trivial amount of time to make it good, and then to make it servable 3. We had a tattoo bet about its D…
  • @itsolelehmann Ole Lehmann on x
    major vibe shift: Europe now has the best open AI model in the West 🇪🇺 “It is the best open weights model from US or Europe on aggregated benchmarks.
  • @mitsuhiko Armin Ronacher on x
    We back chat?
  • @badlogicgames Mario Zechner on x
    best model name ever. congrats team!
  • @arena @arena on x
    Mistral Large 4 by @MistralAI is now in the Arena! Head to Agent Arena to test it out, and your votes will shape its evaluation. Scores coming soon. In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks. Models can access web search, filesystem, …
  • @euacchq @euacchq on x
    Nice milestone in the European AI landscape
  • @freddier Freddy Vega on x
    My god, they did the thing
  • @lmstudio @lmstudio on x
    We're so back.
  • @stupidtechtakes @stupidtechtakes on x
    Mistral using AI 💔
  • @yuchenj_uw Yuchen Jin on x
    Le Chaton Fat is real lol. > “It is the best open weights model from US or Europe on aggregated benchmarks.” Europe OSS being ahead of US OSS LLMs was not on my bingo card. they claim it beats GLM-5.3.
  • @uwukko @uwukko on x
    LE CHATON FAT IS REAL
  • @initjean Jean P.D. Meijer on x
    wait, Mistral finally made a good model?!! we're so back
  • @julien_c Julien Chaumond on x
    “Open weights release end of October.” 🎉 BOOOOM WE ARE SO BACK https://huggingface.co/...
  • @arthurmensch Arthur Mensch on x
    That one took some groundwork. Trained and served on our own compute, and RL shows no sign of saturation
  • @lexnlin Leon Lin on x
    WOW Big Chaton Fat is here
  • r/BuyFromEU r on reddit
    Introducing Mistral Large 4 |  Mistral
  • @sebjohnsonuk Seb Johnson on x
    The last 24 hours have been absolutely crazy for European AI: > @MistralAI announces Le Chonk “the best open weights model from US or Europe on aggregated benchmarks
  • @petergostev Peter Gostev on x
    Mistral Large 4 was trained on 4,000 GPUs and Astra was trained on 100,000 of them. We'll see what the kitten can pull off, but the disparity is pretty stark
  • @synthwavedd Leo on x
    It's pretty funny that it seems the one thing Mistral Large 4 is actually leading on is a benchmark about regulation Another EU banger
  • Pierre Stock Pierre Stock on linkedin
    Welcome to the world, ML4!  —  Today, we're releasing a preview of our latest large & fluffy flagship model, Mistral Large 4, affectiously dubbed Le Chonk. …
  • r/LocalLLaMA r on reddit
    Mistral releasing new open weights model “Le Chonk”
  • Frederik Sally Frederik Sally on linkedin
    Mistral launched Large 4 ‘Le Chonk’ today 🇪🇺  —  The benchmarks look good, but what I care more about is that it's European all the way down …
  • @arthurmensch Arthur Mensch on x
    We're building AGI from this train station
  • @guillaumelample @guillaumelample on x
    ML4 was trained on 3,800 NVIDIA Grace Blackwell GPUs in our European datacenters — our cluster in Bruyères-le-Châtel built using our Series B fundraise. We are investing heavily in infrastructure, with our Series C and D clusters coming online soon. This additional compute will l…
  • @buyeuropean.eurosky.social @buyeuropean.eurosky.social on bluesky
    Le Chonk 🇫🇷 🇪🇺 💪  —  Forged in Europe.  Built for #AI sovereignty.  —  Mistral Large 4, a.k.a. “Le Chonk”:  — outperforms many open-weight rivals;  — ‘closing the gap with frontier models’ in some areas;  — public release on Oct. 27. …
  • @fj@mastodon.social @fj@mastodon.social on mastodon
    Mistral releases Large 4, aka Le Chonk.  —  • 1T parameters, natively multimodal.  49B active.  —  It is the best open weights model from US or Europe on aggregated benchmarks.  —  • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it…
  • r/MistralAI r on reddit
    [ Model ] Le Chonk
  • r/europe r on reddit
    Introducing Mistral Large 4
  • r/singularity r on reddit
    Introducing Mistral Large 4 (le Chonk)