🎙️ Introducing Voxtral 3 ! A new family of SOTA speech models: ASR: Mini & Small for batch transcription, plus real-time streaming TTS: expressive, multilingual speech, batch + streaming Voice agent SDK: low-latency conversations + tool calling Available via API or on your own infrastructure !

ML4 was trained on 3,800 NVIDIA Grace Blackwell GPUs in our European datacenters -- our cluster in Bruyères-le-Châtel built using our Series B fundraise. We are investing heavily in infrastructure, with our Series C and D clusters coming online soon. This additional compute will let us train longer, pursue more ambitious post-training, and iterate faster. We expect large and rapid improvements in the weeks and months ahead. 2/n

Today, we are launching a preview of our new model, Mistral Large 4 (ML4), aka le Chonk 🐈. ML4 is a 1T-parameter model with 49B active parameters, trained natively with multimodal capabilities. It is at the frontier of open models, and by far the strongest open-weight model from the US or Europe. The RL run behind this preview is still in flight and shows no sign of saturation -- we will release a final version before the end of the month along with the weights of the model. 🧵 1/n

We have just raised 3B€ to accelerate our R&D. We are scaling up our training and inference compute to build future generations of our models, and expanding our Science team across all our offices -- Paris, Palo Alto, SF, London, Zurich, and Warsaw. Join us !

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.

Today, we are releasing Le Chaton L∃∀N, aka Leanstral 1.5. It achieves SOTA performance on graduate algebra benchmarks FATE-H and FATE-X and improves Pareto Frontier on PutnamBench, solving 587/672 problems with a x10 cheaper budget. 🧵

Mistral OCR 4 turned a handwritten calculus exam into clean LaTeX! We gave it a photo of a hand-written exam page. The model read the handwriting and rebuilt every formula into structured digital text Output: Time: 5.1s · Cost: $0.09 Formulas came through exactly right - the hard part was nailed. The graph, unfortunately, it didn’t redraw. But that’s the telling part: most OCR tools just dump the text and quietly drop the figure. OCR 4 caught the plot, boxed it, and tagged it as a chart. It doesn’t get redrawn, but it gets read and accounted for

Robostral can now follow natural language instructions. It responds to voice commands and pointing. It is also getting better at fine-grained manipulation where precise force control matters. It generalizes to new objects and tasks not present in the training data.

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:

(っ◔◡◔)っ We are joining @MistralAI ! ｃ(◔◡◔ｃ) I’m thrilled to announce that we are merging forces with @MistralAI I am officially starting a new chapter as Cyber Ops Lead, and the best part is I’m not coming alone! I’m bringing part of the AllVei team with me to build the future of AI for Cyber :D After talking with @GuillaumeLample and the founding team, it quickly became clear that we share the exact same obsession and mindset. With Mistral, we’re scaling up to a whole new level: the innovative spirit of the French AI champion, incredible resources, and absolutely brilliant people to work with every day. The fit was just too obvious 😄 A huge thanks to Guillaume and the entire Mistral team for their trust. I also want to thank everyone who believed in AllVei over the last few months. Thank you to the incredible tech ecosystem in Brittany (Village By CA Finistère, @regionbretagne , @FTBrestPlus , @Bpifrance ), to the VCs, and to our amazing design partners. Your support meant the world ❤️ Can’t wait to show you what we’re building. Let’s get to work 🔥 𝑯𝑨𝑪𝑲 𝑻𝑯𝑬 𝑷𝑳𝑨𝑵𝑬𝑻 :𝑫

🆕 Today, we're releasing the public preview of Workflows, the orchestration layer for enterprise AI. 🌎 Enterprise teams have capable models. What they don't have is a way to run them reliably in production. That's the gap Workflows fills. It takes AI-powered business processes from prototype to production, with the durability, observability, and fault tolerance that production actually requires. Leading organisations like ASML, ABANCA, CMA-CGM, France Travail, La Banque Postale, Moeve, and many others are already using Workflows to automate critical processes.

Thrilled to be joining @MistralAI 😻! Looking forward to pushing the frontier of pretraining and advancing the next generation of LLMs. 💚Grateful for my time at @nvidia -- it's been an incredible foundation for this next chapter.

Mistral OCR 3 now returns confidence scores, at page level or word level. Know exactly how sure the model is about what it extracted. Available now via API and to test in Mistral Studio.

Mistral just open-sourced a text-to-speech model that beats ElevenLabs. 3 GB of RAM. Runs locally. Free. The thing people were paying per-word for last year runs on your laptop now.

SHIPPED! I've had lots of updates recently, here are the ones you should know about: voice mode for input and text-to-speech readouts, chat rewind, parallel tool execution, and more. First, I hear you loud and clear — talk to me instead of typing 🧵

🎉 Congrats to @MistralAI on launching Voxtral 4B TTS — enterprise-grade TTS built for production voice agents. Day-0 support in vLLM Omni. 🌍 9 languages with natural prosody and emotional range 🎙️ 20 preset voices with easy adaptation to new ones ⚡ Ultra-low latency streaming, 24 kHz output in WAV/MP3/FLAC/AAC/Opus Blog 🔗 Model 🔗