Mistral launches Voxtral 3: Connecting speech recognition, reasoning, and tool calling into a real-time agent.
1 hours ago
Beating AI News Flash: French AI firm Mistral has launched Voxtral 3, which includes three speech transcription models, one speech synthesis model, and a full Voice Agent SDK. In an official demo, a user requested a dermatologist appointment in English. The AI read a French referral letter, queried the system for available time slots, completed the booking, and confirmed in English—all via real-time voice conversation. Voxtral 3 is not an end-to-end speech large language model (LLM) that handles all tasks; it uses a modular design: transcription models identify speech and detect when a user has finished speaking, general-purpose LLMs like Mistral Small handle reasoning and tool calling, and the speech synthesis model generates responses. The LiveKit-based SDK connects these components into a real-time pipeline, supporting phone and web calls, and allowing users to interrupt at any time. Mistral claims single-turn interaction latency is under 1 second. Developers can also replace inference or speech models individually. Transcription language support has expanded from 13 in the previous generation to over 50, while speech synthesis supports more than 35 languages and 50+ dialects. In an independent non-real-time transcription test by Artificial Analysis, Voxtral Small Transcribe 3 posted a word error rate (WER) of 2.1%, ranking third behind models from Alibaba and Microsoft. Its speech synthesis ranked 13th. API real-time transcription costs $0.008 per minute, and speech synthesis is priced at $13 per million characters. Enterprises can also contact Mistral to deploy the solution on their own servers or private clouds.
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