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Voxtral 3
MA

Mistral AI

· 1 min read

AI LabsMistral AI

Voxtral 3

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Summary

Voxtral 3 introduces a cutting-edge voice agent SDK and state-of-the-art speech models designed for real-time, multi-step conversations across 50+ languages. It combines accurate transcription, natural speech synthesis with emotional adaptability, and deep tool integration for seamless workflow automation. Available via Mistral’s EU-hosted API or self-deployment, it ensures data sovereignty while delivering low-latency, human-like interactions for contact centers, virtual assistants, and hands-free copilots.

Speech transcription and voice generation have come a long way, but building end-to-end voice agents that can listen, reason, interact, and handle complex workflows remains difficult. 

A reliable voice agent needs to do four things very well (and simultaneously): 

  1. Listen accurately across languages, accents, speakers, and interruptions,

  2. Reason deeply about what users mean in specific contexts,

  3. Speak naturally with emotion and expression, and 

  4. Take action over multiple steps through connected systems. 

Getting all four to work together reliably in real time remains a challenge. 

To address this, we introduce Voxtral 3: a new family of state-of-the-art speech-to-text and text-to-speech models, alongside a voice agent SDK that brings listening, thinking, tool calling, and speaking into a single real-time streaming pipeline.

Voxtral 3 is built to create natural conversational experiences, from contact-center agents and service desks to virtual assistants and hands-free copilots. With support for dozens of languages, expressive speech, complex reasoning, and deep integration with your own tools and data, agents built with Voxtral can interpret nuanced intent, reason through sophisticated requests, and execute multi-step actions across connected systems.

Highlights

Try Voxtral now  | Learn more

It hears 50+ languages, with state-of-the-art accuracy.

It answers with the right emotion, in your or your customer’s brand's own voice and local dialect.

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