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  Malware reverse-engineering: solving an out-of-distribution investigation task. When faced with an unknown binary, Mistral Large 4 reverse-engineers it end-to-end. In this case, it concludes the sample is Cobalt Strike, extracts the IoCs and malware configuration, and writes a report with a YARA rule to catch future incidents. A task that could take a day's work, completed in 12 minutes.

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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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  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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  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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  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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  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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  Engineering drawings: Mistral Large 4 zooms, inspects, verifies. Until the answer is exact.

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  RT: @HelloSurgeAI 🇫🇷 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...

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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.

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  Welcome to Mistral, New Material. Let’s bring design to mission-critical AI.

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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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  Turns out le Chonk is into rocket science. Mistral Large 4 scoring well in engineering and astronomy on Ulam’s private benchmark, STEMBench: https://www.ulam.ai/stembench

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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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  More here: https://mistral.ai/news/voxtral-3

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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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  RT: @noctus91 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.

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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: https://mistral.ai/news/mistral-nvidia-ai-for-industrial-engineering

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  Voxtral Mini Transcribe 3 ranks #2 on Voice Arena’s Diarization + ASR leaderboard.

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  We're taking on the hardest problems in the real world 🏗️🚚 🛫⚛️ Today at The AI Now Summit, held at the Louvre, we announced AI solutions for aerospace, automotive, energy, and physics. Deployed in production at @Airbus , @BMW, @EDFofficiel , and more. More below:

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  https://mistral.ai/news/ai-now-summit-2026/

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  RT: @mistralvibe SHIPPED. Mistral Vibe is now the AI agent for long-horizon productivity and coding, and the home for Work mode, Code mode, the CLI, and a brand new VS Code extension. Let's go... 🧵

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  Mistral officially has 1,000 team members around the world! Thank you to our incredible talent for believing in the mission and contributing to what we are building each and every day. You too can be a part of the next chapter in our journey as we continue to grow and serve our customers. Apply for open roles at Mistral across all functions here: https://mistral.ai/careers/

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  Introducing Mistral OCR 4. It creates structure with bounding boxes, block classification, and inline confidence scores in 170 languages. 🧵👇

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  We ran OCR 4 head-to-head against the field. Independent annotators blindly ranked 600+ real-world documents across 12+ languages, and preferred OCR 4 over every system tested, with win rates averaging 72%.

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  Customers are not an abstraction for us: we exist to help enterprises, public institutions, and industries build their own intelligence, so the value created from their data, workflows, feedback, and models accrues to them rather than to model providers.

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  Announcing Robostral Navigate, our first model for embodied navigation: an 8B robotics navigation model that guides robots to autonomously perform tasks specified with natural language. Single RGB camera. State-of-the-art on R2R-CE.

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  76.6% success on R2R-CE validation unseen (79.4% on validation seen), the benchmark for following instructions in previously unseen environments. It beats the best single-camera approach by 9.7 points while using far less sensing.

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  No LiDAR. No depth sensors. No camera rig. Where leading systems lean on depth or multiple cameras, Robostral Navigate works from one ordinary RGB camera, and still comes out ahead.

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  The Solutions team @MistralAI is hiring globally! If you’re entrepreneurial, hands-on, and want to shape how enterprises adopt AI, let’s talk. Apply: https://mistral.ai/careers/?utm_source=linkedin&utm_medium=social&utm_campaign=global_recruiting