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Frontier AI in your hands. Get work done with @MistralVibe at https://xitter.twitterapi.xyz/t.co/JsGnCVMUFq.

Paris, France
Joined June 2023
Photo by Mistral AI (@MistralAI)Photo by Mistral AI (@MistralAI)Photo by Mistral AI (@MistralAI)Photo by Mistral AI (@MistralAI)Photo by Mistral AI (@MistralAI)Photo by Mistral AI (@MistralAI)Photo by Mistral AI (@MistralAI)Photo by Mistral AI (@MistralAI)Photo by Mistral AI (@MistralAI)Photo by Mistral AI (@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 👇:
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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..
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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 ⬇️
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🆕 Le Chonk brings the brains. Mistral Studio gets it working. Introducing managed agents and apps, plus new capabilities for workflows, enterprise connections, observability and evaluations in Studio. Build faster. Deploy where you choose. Keep control. See what’s possible. 🧵
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Managed agents, for work that needs reasoning. Build agents that investigate and act. Studio manages execution, with skills, sandboxes, subagents and hooks to shape how they work. Our engineers use an agent to investigate incidents, saving hundreds of hours each month. Watch the team explain:
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🔴 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: youtube.com/live/bTMRF7DcKiU 📍 Discord: discord.com/invite/mistralai
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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.
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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.
New on Open Math OS: Mistral Large 4 by @MistralAI. 1.05T open weights. 1M context window. Available now to all approved teams.
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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 :
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We asked Mistral Large 4 to show what happens when you break a molecule. ⚛️ With a short prompt, it wrote a quantum chemistry SCF solver from scratch, validated its output, and built a 3D view around it. Le Chonk also understand chemistry enough to independently choose how to break the molecule and what orbitals to show, without further input. 🧵
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Step 1️⃣: the solver: It computes single-electron orbitals, which predict where electrons can be found. Step 2️⃣: the visualisation. Drag the slider: the bond fades, the orbitals split onto the two fragments, the energy climbs. You watch the molecule break.
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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
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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.
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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.
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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…
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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…
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Introducing Voxtral 3: state-of-the-art Transcribe and Speech models powering Mistral’s new voice agents API. 🧵
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Voxtral Small Transcribe 3 is state-of-the-art in multilingual transcription, diarization and context-biasing. It detects when someone has finished speaking so agents can respond without delay.
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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
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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.
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Designed to support multiple tasks: - reconstructing particle collisions - identifying particles - flagging unexpected signals - evaluating future detector designs
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Welcome to Mistral, New Material. Let’s bring design to mission-critical AI.
New Material joins @MistralAI to design the frontier. Over the last 6 years we've teamed up with ambitious organisations transforming their industries with AI. Today, we are excited to take it to the next level within Europe's premier frontier AI lab. newmaterial.ai/stories/newma…
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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: lnkd.in/gGYA9hpD #SpaceMadeSimple #AIInfrastructure #AIforSpace
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Le Chonk cooked on visual grounding. Pinpoints exactly where things are in an image. 42% on Dense 200, ahead of even frontier closed models..
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Engineering drawings: Mistral Large 4 zooms, inspects, verifies. Until the answer is exact.
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