Mistral Large 4 is great for coding and cyber security.
Try it out with our open source harness github.com/mistralai/mistral…
And the ML4 technical paper is a great read too!
ML4 is now open-weight! Frontier capabilities on code agents & cyber, way more efficient and compact than its Preview version three weeks ago (!) and cherry on the cake: technical report telling its epic backstory. Check it out: huggingface.co/mistralai/Mis…
Isidor Nikolic retweeted
ML4 is now open-weight! Frontier capabilities on code agents & cyber, way more efficient and compact than its Preview version three weeks ago (!) and cherry on the cake: technical report telling its epic backstory. Check it out: huggingface.co/mistralai/Mis…
finding critical zerodays with the new model, LE CHONK (informal name: mistral 4 large), an open weights eu model by mistral.
this tweet is probably for you if you're want to jailbreak your own appliances, or do infosec/blue teaming work.
i've been sitting on a document for a long time of software i'd consider critical to the internet (something all of you use, even if you don't know it) that could use another look.
yesterday, as i mentioned, i had chonk explore parts of a messaging app that is widely used, and it found a zero-click medium/high zero-day in under 30 minutes, and *less than 10 dollars in api spend*.
these vulnerabilities are now reported (can't reveal until patched).
when i've used it, i've had very few outright refusals. the intent behind chonky is to good at cyber, in a defensive context. however, in order to do that, you also need to be good at cyber in an offensive context.
but for those looking to customize their TVs that would otherwise be locked down, this thing will tear them apart for you, and it will gladly look at prior arts (several exploits for nearly all TVs that expose a surface is out there), same with pretty much any other device that lives on your network.
the things it will refuse to do is outright write exploit chains, however with how succinct the reports this thing writes are, writing a poc to confirm a vulnerability is completely doable.
so far i'm very impressed. it seems pretty frontier when it comes to cyber and reasoning (practically no one has anthropic cyber access and daybreak is only gpt-5.6), it can also be as bad as any other model if you don't put effort into your prompts.
it is addicted to tool calls, and very brief on prose. but the reasoning is incredible to watch, if you point it in the right direction, and you have a background in infosec. the way it operates is something i've never seen before (thousands of tool calls, ingest of data, analysis, before any prose, depending on codebase complexity), it feels eerily like an human auditor would behave lol.
some config tips: it will definitely work in a codex harness, but i'd recommend trying the vibe cli harness with le chonk. the more tools it has access to (if they're right for the job), the better of a job it'll do in my experience. the amount it loves tool calls really cannot be understated.
if an inference provider through a router is trying to serve you another model, it will be instantly evident that it's not le chonk, just by how it operates. it's hard to convey, but it's not like any other LLM i've ever tried.
people in the subscriber groupchat have also reported finding their first vulnerabilities with le chonk so it seems i'm not just an anomaly.
le chonk scores extremely high on reasoning, but i've yet to try to use it for anything except infosec work, i don't know if it's a great day-to-day model, but i'll have it go head to head with GLM-5.3 at some point in a general swe workflow.
i did a few tweets on it yesterday out of sheer euphoria, not sponsored, mistral has given me credits now to continue work. this hopefully ties me over until i can get my hands on enough sparks to run it locally.
go give this model a try, let me know how it works for you.
with the daybreak program now collecting data (why...?), and this being OPEN WEIGHTS the only thing i can think to end this on is:
we're so fucking back.
>mistral 4 large chonky cyber model weights drop
>6 hours, 11 minutes, 27.202 seconds passes
>binance is drained for 2.2 billion dollars
coincidence? almost certainly, but this model is genuinely insane. 4x confirmed zerodays in an important messaging app in 2 hours of testing.
ML4 is great at coding! Try it out at chat.mistral.ai/code
This eval penalizes verbose answers and shows how ML4 gives to-the-point answers.
Impressed by the new @MistralAI large-4 update! The model update is much better at coding and performs as the 2nd best OSS model on our coding benchmark
Isidor Nikolic retweeted
Impressed by the new @MistralAI large-4 update! The model update is much better at coding and performs as the 2nd best OSS model on our coding benchmark
Isidor Nikolic retweeted
We made progress and there is a lot more to come
Replying to @ArtificialAnlys
Running in Mistral Vibe, Mistral Large 4 (high) ranks second of the current open weights models on the Artificial Analysis Coding Agent Index (48), between GLM-5.3 (max) in Opencode (49) and DeepSeek V4.1 Flash 1017 (max) in DeepSeek Harness (46), while using about half as many total tokens per task (8.5M vs. 15.9M and 16.7M)
Isidor Nikolic retweeted
We just released an updated version of le Chonk (ML4) on the API and on HuggingFace. It is simply the best OSS model for code!
Le Chonk pushes the OSS Pareto frontier for the AA coding agent index: tied with GLM5.3 using close to half of the tokens.
It is the best OSS model on FrontierCode 2.0, which came out earlier this week, and on Terminal-Bench 4.0! 🐈
Isidor Nikolic retweeted
like and subscribe
huggingface.co/mistralai/Mis…
RT @piniwit: Le Chonk is OSS as of today! We have great results for coding and Agentic tasks, you should use it 🐈🐈
This quoted post is unavailable.
Try it out now on Mistral Vibe
chat.mistral.ai/code?model=m…
Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity.
💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis.
🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others.
Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it.
Read more from our team and customers 👇:
We just published our November plan for the Mistral Vibe CLI:
github.com/mistralai/mistral…
Let us know what you want to see next in Mistral Vibe
Isidor Nikolic retweeted
This Thursday, we are hosting events at our SF, NYC, and London offices to celebrate the launch of ML4 !
We're growing our teams across all three locations, as well as in Paris, Warsaw, Zurich, and Montreal, where we recently opened a new office.
If you believe the future of AI should be open, that scientific breakthroughs should be shared, and that everyone should benefit from frontier intelligence, come build that future with us !
Le Chonk is out of the bag 🐈
We're throwing Chonky Parties in our SF, NYC and London offices to celebrate the launch!
You can expect some Champagne 🍾, food, good music, and to meet the team behind our latest release.
📍 SF: luma.com/viqhwgcw
📍 London: luma.com/xvuvl3mc
📍 NYC: luma.com/1qk99m3e
Please sign up! Registration is mandatory.
Starting today, Mistral Vibe supports @gitlab as a git provider alongside GitHub.
You can connect your GitLab account and pick repositories when you start a session. Mistral Vibe clones them into the sandbox and works on them directly.
Try it on chat.mistral.ai/code
Mistral Vibe CLI 3.0 is out!
The CLI now runs on the same harness as Mistral Vibe in the browser and the VS Code extension, and its terminal UI has been rewritten in Rust: first frame in 72 ms instead of 1.1 s, and smooth 60 FPS scrolling in long sessions.
What changed, the numbers behind the new TUI, and what's gone in 3.0
github.com/mistralai/mistral…
























