On Oct 20 Mistral released Voxtral 3: the Voxtral Small/Mini Transcribe 3 speech-to-text models, Voxtral Mini Transcribe Realtime 3, the Voxtral Mini TTS 3 (Voxtral Speech 3) text-to-speech model, and a LiveKit-based voice agent SDK that streams listening, reasoning with tool calls, and speaking as one pipeline, with each turn completing in under a second per Mistral. Transcription covers 50+ languages with diarization and context biasing; TTS covers 35+ languages and 50+ dialects, plus Pro Voice cloning from 30 minutes of audio. It is live on the Mistral API (EU, US and global endpoints) and can be self-deployed.

Key Takeaways

  • ✓Multilingual transcription (vendor-reported): macro WER over 45 FLEURS languages is 4.1% (language forced) / 4.0% (inferred) for Voxtral Small Transcribe 3, tied with Microsoft AI Transcribe 2 and ahead of Scribe v2 (4.9%) and Whisper large-v3 (16.0%/14.9%)
  • ✓Diarization (vendor-reported): cpWER of 18.4% for Small and 18.6% for Mini, vs 30.9% for the previous Voxtral Mini Transcribe 2 and 38.4% for Gemini 3.5 Transcribe
  • ✓Pricing: Voxtral Mini Transcribe 3 is 4B parameters at $0.0035/min (docs list it as Public Preview with 32k context); Voxtral Speech 3 costs $13 per 1M characters
  • ✓Realtime: Voxtral Mini Transcribe Realtime 3 runs below 500 ms latency; in Mistral's 35-language FLEURS chart the 480 ms setting scores 6.4% WER, still behind Gemini 3.5 Realtime Transcribe at 4.2%
  • ✓The voice agent SDK is built on LiveKit with SIP telephony and WebRTC; each stage (LLM, voice, language) is swappable, and Pro Voice clones a voice from 30 minutes of audio
Mistral launches the Voxtral 3 speech model family and a voice agent SDK: transcription in 50+ languages, TTS at $13 per 1M characters, EU-hosted or self-deployed
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In-Depth Technical Analysis

Background and pain points

A voice agent has to listen accurately across languages, accents and interruptions, understand intent, speak naturally, and take multi-step actions, all in real time. Teams usually stitch together ASR, an LLM and TTS from different vendors, which stacks latency and often sends audio across borders. Mistral now ships the models plus orchestration, hosted in the EU or self-deployed, aimed at contact centers, service desks and hands-free copilots.

Architecture highlights

Voxtral 3 is a family of separate models: Small Transcribe 3 (highest-accuracy STT), Mini Transcribe 3 (4B parameters, low cost), Mini Transcribe Realtime 3 (sub-500 ms streaming STT) and Mini TTS 3, also called Voxtral Speech 3. The STT models support diarization, context biasing and end-of-turn detection that uses both acoustic and semantic cues. TTS infers emotion, pace and emphasis from context and also accepts tags such as [emotion=sad][pace=slow]. The LiveKit-based SDK streams every stage without waiting on the previous one; Mistral says each turn completes in under a second and the agent stops when the caller cuts in.

Benchmarks

All figures are vendor-reported and not yet independently reproduced. FLEURS 45-language macro WER: Small 4.1%/4.0% (tied with Microsoft AI Transcribe 2), Mini 4.6%/4.5%, Gemini 3.5 Transcribe 6.1%/4.5%, Whisper large-v3 16.0%/14.9%. Diarization cpWER: Small 18.4% vs 30.9% for the previous Mini Transcribe 2. Earnings-22 keyphrase recall with context: Small 94.6% vs Scribe v2 94.3%. In realtime, the 480 ms setting scores 6.4% WER, behind Gemini 3.5 Realtime Transcribe at 4.2%. TTS charts plot quality per dollar judged by gemini-3.8-flash, mostly internal evals, without per-model scores published.

Getting started

Try voice agents, transcription, speech and voice cloning in Mistral Studio playgrounds; the API has EU, US and global endpoints, with transcription at /v1/audio/transcriptions. Mini Transcribe 3 costs $0.0035/min and Speech 3 $13 per 1M characters; see the pricing page for the rest. Phone agents can connect over SIP through the SDK, and teams needing on-prem can deploy the full stack with Mistral. Mini Transcribe 3 is currently marked Public Preview in the docs.

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