Mistral Voxtral 3: Transcription From $0.0035 a Minute and a Full Voice Agent API at $0.04 a Minute
Mistral now sells every layer of a voice agent: speech-to-text, real-time transcription, text-to-speech and a LiveKit-based SDK that strings them together with a Mistral model. Here are the prices and what the benchmarks do and do not show.
TL;DR
Mistral released Voxtral 3 on 20 October 2026, a family of speech models plus a voice agent API. Voxtral Small Transcribe 3 costs $0.004 per minute, Voxtral Mini Transcribe 3 costs $0.0035 per minute in batch, the real-time Mini model costs $0.008 per minute with sub-500ms latency, and Voxtral Mini TTS 3 costs $13 per million characters. The complete voice agent API costs $0.04 per minute with Mistral Small 4 or $0.08 per minute with a larger model, and its SDK is built on LiveKit with SIP and WebRTC support. Mistral's own FLEURS chart puts Small Transcribe 3 at 4.1% word error rate, level with Microsoft and ahead of Gemini, ElevenLabs Scribe and OpenAI, but those are vendor-run numbers.
Until now, a team building a phone or voice agent on Mistral had to bring its own speech layers. Voxtral 3 changes that. Mistral now offers transcription, real-time transcription, speech synthesis and an agent SDK under one bill, and it priced the full loop per minute rather than per token.
The price list
| Model or service | Price | What it is for |
|---|---|---|
| Voxtral Small Transcribe 3 | $0.004 per minute | Highest-accuracy transcription: 50+ languages, speaker diarization, context biasing, end-of-turn detection |
| Voxtral Mini Transcribe 3 | $0.0035 per minute (batch) | Cheaper 4B-parameter transcription for files |
| Voxtral Mini Transcribe Realtime 3 | $0.008 per minute | Live transcription under 500ms |
| Voxtral Mini TTS 3 | $13 per 1M characters | Speech in 35+ languages and 50+ dialects, presets in 18 languages, Pro Voice cloning from 30 minutes of audio |
| Voice agent API, Mistral Small 4 | $0.04 per minute | Listen, think and speak in one call |
| Voice agent API, larger Mistral model | $0.08 per minute | Same loop with a stronger reasoning model |
One small inconsistency: Mistral's page gives the real-time model's language count as 35+ in one place and 40+ in another. Test your target languages before you commit.
The agent SDK
- Built on LiveKit, the open-source real-time audio framework many voice agent teams already use.
- Supports SIP for phone lines and WebRTC for browser and app calls.
- Mistral says a full turn, from the caller finishing a sentence to the agent starting its reply, completes in under one second.
- End-of-turn detection in the transcription models is what lets the agent know when to speak without cutting people off.
The benchmarks, as Mistral reports them
| Model | FLEURS-45 word error rate (lower is better) |
|---|---|
| Voxtral Small Transcribe 3 | 4.1% |
| Microsoft AI Transcribe 2 | 4.1% |
| Voxtral Mini Transcribe 3 | 4.6% |
| ElevenLabs Scribe v2 | 4.9% |
| Gemini 3.5 Transcribe | 6.1% |
| GPT Transcribe | 6.3% |
| Whisper large-v3 | 16.0% |
Mistral also reports an 18.4% concatenated minimum-permutation word error rate for diarization on Small Transcribe 3, and keyphrase recall of 94.6% when you pass it context terms against 81.4% without. That second number is the practical one: if your calls are full of product names or medical terms, feeding them in as context matters more than the model choice.
What the coverage left out
- Weights: earlier Voxtral releases shipped open weights. The Voxtral 3 announcement mentions self-deployment but does not state an open-weights licence for each model, so confirm before planning an on-premises build.
- Benchmarks: every number above comes from Mistral. Microsoft ties Small Transcribe 3 on the headline chart, so the accuracy lead is not as clear as some headlines suggest.
- Full price table: most write-ups quoted one or two prices. The agent API at $0.04 per minute is the figure to compare against a stitched-together stack of separate speech, model and voice vendors.
What this means for teams building voice agents
- If you run high call volumes, $0.04 per minute for the whole loop is a simple number to model against your current per-minute cost across three vendors.
- If you already use LiveKit, trying Voxtral is mostly a provider swap rather than a rebuild.
- If data location matters, the EU endpoint is the main reason to look at Mistral over US-only providers.
- Run your own word error test on real recordings. Vendor charts on FLEURS rarely match noisy phone audio.
Sources
AI Industry Reporter
Priya covers model releases, industry announcements, and the gap between what labs claim and what independent evaluators actually find. She reads the primary source - the paper, the system card, the benchmark org's own statement - before writing a word.
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