# MarkTechPost — Mistral AI Releases Voxtral 3: Speech-to-Text, TTS and a Voice Agent SDK

- Company: MarkTechPost (marktechpost.com)
- Announced: 2026-10-21T06:03:12+00:00
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://www.marktechpost.com/2026/10/20/mistral-voxtral-3-speech-models-voice-agent-sdk/
- Record: https://forck.live/items/25697-mistral-ai-releases-voxtral-3-speech-to-text-tts-and-a-voice-agent-sdk
- Subject: Reporting
- Models affected: Voxtral 3, Voxtral Small Transcribe 3, Voxtral Mini Transcribe 3, Voxtral Mini Transcribe Realtime 3, Voxtral Speech 3, Voxtral Mini TTS 3, Mistral Small 4
- Context window: 32k context
- Pricing: Voxtral Mini Transcribe 3 (batch): $0.0035/min; Voxtral Small Transcribe 3: $0.004/min; Voxtral Mini Transcribe Realtime 3: $0.008/min; Voxtral Speech 3 (batch and realtime): $13 per 1M characters; Voice agent API: $0.04/min with Mistral Small 4, $0.08/min with any other reasoning model

Mistral AI released Voxtral 3, a speech model family with three transcription models, one text-to-speech model and a voice agent SDK built on LiveKit, all in public preview on the Mistral API. The family covers batch transcription and diarization, streaming ASR over WebSocket with end-of-turn detection, and text-to-speech, with all transcription models supporting diarization and context biasing across 50 languages. Mistral reports Voxtral Small Transcribe 3 at 2.1% AA-WER, third on Artificial Analysis, and best-in-chart diarization at 18.4% cpWER, ahead of Pyannote and MAI-Transcribe-2. The realtime model trades latency for accuracy, scoring 5.7% WER at 2,400 ms and 7.4% at 240 ms on FLEURS 35, against 4.2% for Gemini 3.5 Realtime Transcribe. Batch transcription costs $0.0035 to $0.004 per minute, Voxtral Speech 3 costs $13 per 1M characters, and the voice agent API costs $0.04/min with Mistral Small 4 or $0.08/min with any other reasoning model. The models run on Mistral's European, US and global endpoints, and OpenRouter lists all three new models with EU-hosted, zero-data-retention endpoints; no open weights were announced.

## Evidence

Verbatim from https://www.marktechpost.com/2026/10/20/mistral-voxtral-3-speech-models-voice-agent-sdk/:

> The SDK is built on LiveKit and runs 3 stages as 1 streaming pipeline. Realtime Transcribe 3 listens and detects when the caller stops speaking. A general LLM, such as Mistral Small 4, reasons and calls tools. Voxtral Speech 3 replies in the tone of the conversation so far.

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Record: https://forck.live/items/25697-mistral-ai-releases-voxtral-3-speech-to-text-tts-and-a-voice-agent-sdk
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md