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Voxtral Small Transcribe 3

Voxtral Small Transcribe 3 is a speech-to-text model for multilingual transcription. It supports diarization, context biasing, and end-of-turn detection.

What it does

Use it to transcribe multilingual audio, identify speakers, and improve recognition of domain-specific terms.

Availability
Available today through Mistral’s EU-hosted API or for self-deployment
Pricing model
Not established
Deployment
EU-hosted API or self-deployment on own infrastructure
Privacy
Organizations control where audio is processed, how data is handled, and whether conversations are retained
Licence
Not established
Capability
translationextraction
Modality
audiotext
Access
API
Deployment
hostedon-premises
Pricing
unknown
Target user
developerenterprise

Evidence

4 claims
  • The model supports transcription across 50 languages. [1]
    The speech model implicitly interprets the semantic meaning of context better, producing natural speech across a diverse range of emotions and languages.
    Mistral. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • It supports diarization and context biasing. [1]
    It achieves high-quality transcriptions at sub-500ms latency in over 35 languages, including with diarization and context biasing.
    Mistral. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • It detects when a speaker has finished speaking. [1]
    It detects when someone has finished speaking so agents can respond without delay (end-of-turn detection).
    Mistral. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • It is available through Mistral’s EU-hosted API or for self-deployment.

Sources

1
1
MistralOwner-controlled
https://mistral.ai/news/voxtral-3/ Retrieved 2026-10-29 00:08 UTC
Verified

Versions

3
VersionEffectiveChangeChanged fieldsState
32026-10-27 00:06 UTCmaterial changecapability, privacyCurrent
22026-10-22 00:40 UTCmaterial changecapability, deployment, privacyCurrent
12026-10-20 17:18 UTCpublicationNoneCurrent

In briefs

1

Open in the catalog

Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.