Project AURIONAI Use-Cases Research & Innovation
Mistral AI
speech recognition

Voxtral Small

Mistral speech model (24B); Open ASR average WER 6.62.

Mistral AIMistral AIFrance
Figure from the Voxtral paper: macro-average speech recognition word error rate, with Voxtral Small against open and closed models.
Levelmodel
Classspeech recognition
Parameters24B
Contextnot in the notes
Released2025
Opennessunknown
Runs onnot in the notes
Statusactive

Benchmark Results

maintainer-run
Hugging Face Open ASR Leaderboardspeech
average WERmaintainer-run
6.62
048

Score in WER. Lower is better.

select.keenable.ai
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

R&D Topics

Audio language models for speech understandingexemplar

Identity

Developer
Mistral AI
Family
not in the notes
Released
2025 sourcesnotes
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
other
Total parameters
24B sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
audio
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. Speech Recognition Accuracy Leaders, 2022–2026 select.keenable.ai https://select.keenable.ai/r/speech-recognition-accuracy-leaders-2022-2026/JbURQjlVooLQ6J10NkbRVw

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Voxtral Small", https://aurion.semai.id/models/mistral-ai-voxtral-small/, records of October 2026.