Voxtral Transcribe 2 delivers ultra-fast, highly accurate speech-to-text with real-time transcription and speaker diarization. Built for live apps, voice agents, and meetings, it supports 13 languages, word-level timestamps, and privacy-first deployment . All at industry-leading speed and cost.
Voxtral TTS is Mistral AI's first text-to-speech model with state-of-the-art multilingual text-to-speech with realistic, emotionally expressive voices. Low latency, voice cloning, and support for 9 languages make it ideal for scalable voice agents and enterprise workflows.
Mistral 3 includes three state-of-the-art small, dense models (14B, 8B, and 3B) and Mistral Large 3 – our most capable model to date – a sparse mixture-of-experts trained with 41B active and 675B total parameters. All models are released under the Apache 2.0 license.
The Ministral models represent the best performance-to-cost ratio in their category. At the same time, Mistral Large 3 joins the ranks of frontier instruction-fine-tuned open-source models.
Introducing Mistral OCR – a cutting-edge, lightweight Optical Character Recognition model designed for speed, accuracy, and efficiency. Whether extracting text from images or digitizing documents, it delivers state-of-the-art performance with ease.
Mistral OCR 3 extracts text and images from documents with SOTA accuracy. It handles handwriting, complex tables, and scanned forms, outputting clean markdown.
Devstral 2 is the new SOTA open-weight coding family, achieving 72.2% on SWE-bench Verified. It ships with Mistral Vibe, an open-source CLI agent for end-to-end code automation. Currently free via API.
Magistral is Mistral AI's first reasoning model, excelling in domain-specific, transparent, and multilingual reasoning. Available as an open-source 24B version (Small) and a powerful enterprise version (Medium).
Le Chat combines powerful AI with extensive information on the web to help you rediscover the world. Enjoy natural conversations, real-time internet search, comprehensive document analysis, and much more.
