Mistral AI
@MistralAI
Frontier AI in your hands. Get work done with @MistralVibe at
2 Following 228.6K Followers
What does real-time transcription look like in a live setting?
🎙 We used Voxtral Transcribe 3 at AI Engineer Paris to capture every main-stage talk in real time. We boosted accuracy with context biasing, feeding the model speaker names and technical terms from the conference agenda..
Show more
Transcribing speech is one thing. Knowing when someone is done speaking is another.
🎙 Voxtral 3’s end-of-turn detection helps developers identify when a user has finished speaking, making it easier to build responsive voice interactions without relying on science alone.
See it in action ⬇️
Show more
🔴 LIVE TOMORROW
Office Hours are back. We’re talking Studio and Vibe, with a guest from the Studio team.
Drop your questions below 👇 or just come hang out.
📅 Nov 5
⏰ 6PM CET / 12PM EST
📍 YouTube:
📍 Discord:
Show more
Can Mistral Large 4 find a critical vulnerability, prove it and fix it? We tested it on a recent Django CVE.
133 agents map the code, hunt for flaws, test attack scenarios and confirm the bug. Then Le Chonk patches it.
Triage, repro, patch. Shown at 90x speed.
Show more
Mistral Large 4 joins the model lineup on Open Math OS.
1.05T open weights, 1M context, live today for approved teams.
Open Math OS is a research workspace where mathematicians and AI agents work on shared projects, built only on open models so the community can inspect and run them, and with the community in control of its own data.
More open frontier models in the lineup means more choice for every team.
Show more
New on Open Math OS: Mistral Large 4 by @MistralAI.
1.05T open weights. 1M context window. Available now to all approved teams.
We tasked Mistral Large 4 with creating a real-time, 3D tracker of the roughly 19,000 satellites and debris fragments orbiting Earth.
The model built a working app, tested it like a user, made it fast, and passed strict verification.
Please meet Orbital Trace :
Show more
The story of how Le Chonk was built, told by the team behind it.
Now on @askalphaxiv :
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:
Show more
"Mistral Large 4"
paper published exclusively on alphaXiv
Their latest technical report shares that aggressively reducing KV-cache memory can hurt an LLM's agentic capabilities, even when its language modeling performance looks unchanged.
Mistral initially reduced KV-cache memory by 16x, but they found that this hurts long-context agentic tasks, where models need to retrieve information from much earlier context.
To fix this, Mistral restored full-context attention to more layers, then adopted DeepSeek Sparse Attention to select the 2,048 most relevant tokens across the context instead of attending to everything.
Their resulting 1T-parameter MoE model (w 52B active) scores 41% on Terminal-Bench 4.0 and 19.7% on FrontierCode 2.0, and its NVFP4-quantized checkpoint fits on four GB300 GPUs.
Show more
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 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
Show more
Props to @MistralAI for the open-weights release of LE CHONK!
Use it in our new Kilo Desktop app today:
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 👇:
Show more
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:
Show more
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 👇:
Show more
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:
Show more
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:
Show more
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.
Show more
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:
Welcome to Mistral, New Material. Let’s bring design to mission-critical AI.
Look up! Mistral models are in orbit 🌍.
Proud to join @orbitworksspace and @LoftOrbital's first-of-its-kind AI satellite constellation with @NVIDIAAIInfra.
Just a few weeks ago, @orbitworksspace launched Altair, the first of a 50-satellite AI constellation that will enable users to receive AI-generated alerts within minutes. @NVIDIAAIInfra solutions is making this possible, supporting models like Mistral’s Ministral 3 to deliver fast, reliable answers for users' critical questions.
Read more:
#SpaceMadeSimple# #AIInfrastructure# #AIforSpace#
Show more
