Partnership18h ago
Mistral AI and NVIDIA Forge Industrial Engineering AI Alliance, Previewing 1T Mistral Large 4
At GTC Berlin, Mistral AI and NVIDIA announced a strategic partnership dedicated to advancing AI for industrial engineering, computational physics, and electronic design automation (EDA). The alliance couples Mistral frontier architectures with NVIDIA CUDA-X libraries, Warp physics simulation frameworks, and Omniverse digital twins. Mistral simultaneously revealed architectural specifics for its forthcoming flagship, Mistral Large 4: spanning roughly 1 trillion total parameters with 49 billion active parameters (MoE), trained on 3,800 Grace Blackwell GPUs, with open weights slated for official release at the end of October 2026.
Speech1d ago
Mistral Releases Voxtral 3 Audio Model Suite and Real-Time Voice-Agent API with Sub-500ms Latency
Mistral AI unveiled Voxtral 3, a production audio intelligence suite paired with a real-time Voice-Agent API. The lineup features the 4B-parameter Mini Transcribe, Small Transcribe 3, and a turn-key voice agent SDK built on LiveKit. Supporting transcription across 50 languages with diarization, multi-lingual TTS with emotional tags across 35+ languages, and 30-minute voice cloning, Voxtral 3 redefines voice AI economics. In Artificial Analysis independent benchmarks, Small Transcribe 3 secured rank #3 globally with a 2.1% error index (outperforming ElevenLabs Scribe v2), while Realtime Transcribe delivers sub-500ms latency at $0.04/min for full voice agent turns.
Release55d ago
Mistral AI Upgrades Codestral 2501 & Large 3: 256K Context Window with Accelerated FIM Completion
Mistral AI rolls out major API runtime optimizations for Codestral 2501 and Mistral Large 3. Featuring 256K context and specialized Fill-in-the-Middle (FIM) kernels, developers get sub-40ms time-to-first-token in IDE plugins at $0.30/$0.90 per 1M tokens.
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