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

Paris, France
Joined June 2023
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 frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.
🤖 Made with AI
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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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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. 🧵
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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 3 also introduces a voice agent SDK, built on LiveKit. Transcribe listens, a reasoning model thinks and calls tools, and Speech replies, streamed as one pipeline for natural, intelligent conversation.
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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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Mistral AI retweeted
🇫🇷 Le Chonk joins the sudo L7 leaderboard 🇫🇷 We just added @MistralAI's Mistral Large 4 to sudo L7, our benchmark for staff-level software engineering. Mistral Large 4 scores 13.3%, ahead of Muse Spark 1.3 (12.2%) and Grok 4.7 (10.6%). sudo L7 tests whether coding agents can go beyond writing correct code to exercise the judgment of experienced engineers: navigating messy systems, spotting hidden risks, and knowing when technically correct code is still the wrong thing to ship. Allez, le Chonk ! 🥖 Leaderboard ↓ surgehq.ai/benchmarks/sudo-l…
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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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Vision for engineering, manufacturing, and earth observation. Checks mechanical parts, pulls evidence from PDFs, scans gigapixel satellite imagery for the hardest-to-find objects. Bon appétit.
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Mistral Large 4 runs general-purpose agents that gather information and produce finished deliverables across complex workflows.
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Gmail. Google Sheets. Slack. Salesforce. i.e. the four horsemen of Monday. On AutomationBench, Mistral Large 4 took on 657 business workflows across simulated workplace apps, all four included, finishing ahead of Kimi K3, MiMo-V2.6-Pro and DeepSeek V4 Pro.
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The Ballon d'Or, legal division: On Harvey's Legal Agent Benchmark (LAB), Mistral Large 4 is the #1 oss model.
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