Frontier AI in your hands. Get work done with @MistralVibe at https://nitter.cf/t.co/JsGnCVMUFq.
Paris, France
Joined June 2023
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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 👇:
Three weeks of training camp for Le Chonk. No days off.
Thanks for putting it to the test, @ThibaultJaigu and @RequestyAI.
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
Mistral AI retweeted
Mistral researcher @Sagar_Vaze argues some of the most serious recent AI cyberattacks came from closed models, not open-source ones:
"If you look at the most significant malicious attacks that have happened recently, these have actually been perpetrated not by open weights models, but by closed weights models which have either been jailbroken or, in some cases, during training, escaped their sandbox. In practice, that’s how many of the attacks have been perpetrated."
"Defenders trying to shore up their own defenses are having their requests refused by these same providers, because cutting-edge defensive requests look quite similar to offensive ones."
"People trying to defend from malicious attacks, often from closed weights models, find they have no recourse but to use an open weights model."
"It's critical that there are open weights models of sufficient strength that people can scalably defend their infrastructure."
@MistralAI
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 👇:
Mistral AI retweeted
Props to @MistralAI for the open-weights release of LE CHONK!
Use it in our new Kilo Desktop app today: kilo.ai/install
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 👇:
Mistral AI retweeted
We sat down with @MistralAI's Pierre Stock and Sagar Vaze from Mistral on launch day of Mistral Large 4.
Open weights. Trained in Mistral’s own data centers. Excels at cyber.
Full conversation on cyber, training, evals and sandboxing:
youtu.be/FczbSauVvjw
Today, we’re introducing the Responses API in public preview, made for building agents on Mistral.
Each response returns the model’s answer, its reasoning and its tool calls as separate items, so your app can handle every step more easily than with Chat Completions.
It works with all chat models hosted by Mistral, including Large 4.
We’re also now serving two fast, low-cost models:
- DeepSeek V4.1 Flash, in public preview. Great for long-context coding and agentic tasks.
- GLM 5.3 Flash, now generally available. Great for subagents, tool calls and coding tasks.
Served in the EU and US on Mistral AI Cloud Inference. Learn more about Responses API here: docs.mistral.ai/studio/conve…
Voxtral Mini Transcribe 3 ranks #2 on Voice Arena’s Diarization + ASR leaderboard.
🚀 Mistral AI’s Voxtral Mini Transcribe 3 ranks #2 out of 9 models by DER on Voice Arena’s Diarization + ASR leaderboard, outperforming its larger counterpart.
Following the launch of Mistral’s new Voxtral 3 family, we evaluated its Mini and Small transcription models on Voice Arena’s Diarization Bench.
🥈 Voxtral Mini Transcribe 3: 40.4% DER (#2)
Voxtral Small Transcribe 3: 41.1% DER (#4)
Both models were tested on 139 held-out conversations under identical conditions, using human-verified references, a strict 0 ms collar, and no predefined speaker counts or audio cleanup.
Mini leads on in-person conversations (40.6% vs. 41.5%), while Small performs slightly better on online calls (39.1% vs. 39.5%).
Overlapping speech remains the biggest challenge. Missed speech accounts for 82% of Mini's total DER. Both models correctly identify the exact number of speakers in 83.5% of sessions.
Congratulations to @MistralAI on the release ! 👏
View complete track & condition breakdown: voicearena.com/diarization-b…
Today we’re announcing a new collaboration with @nvidia to bring AI to industrial engineering:
- faster simulation
- open benchmarks and supporting datasets for physics AI
- evaluations for agentic AI in CAE and EDA
More here: mistral.ai/news/mistral-nvid…
Mistral AI retweeted
Can an STT model make sense of a 135 year old recording?
I tested @MistralAI new Voxtral transcription model on a noisy French phonograph recording of Gustave Eiffel from 1891.
It matched 100 of 107 words in INA’s published excerpts (6.5% WER), while transcribing 75 additional words omitted from the reference.
It handled Eiffel’s dictation well but struggled with proper names and some guest dialogue.
A fascinating test of modern speech recognition on audio from 1891.
Introducing Voxtral 3: state-of-the-art Transcribe and Speech models powering Mistral’s new voice agents API. 🧵
Turns out le Chonk is into rocket science.
Mistral Large 4 scoring well in engineering and astronomy on Ulam’s private benchmark, STEMBench: ulam.ai/stembench
What can large-scale AI models bring to the growing complexity of particle physics?
@CERN and Mistral join forces to explore this question.
The ambition: a single Large Physics Model, trained on billions of simulated collisions.
