Mistral AIAudio modelPublic preview

Voxtral Mini Transcribe Realtime 3

PopularityRank 670 of 875

0out of 100same as last month

Summary

Voxtral Mini Transcribe Realtime 3 streams transcripts over a WebSocket connection. Mistral documents configurable audio chunks from 80 to 2,400 milliseconds, speaker labels, and end-of-turn detection.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 13 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

Omi Medical realtime: Medical-term WER (Show measurement, test conditions, and source)

Source value: 1.36
Score: 1.36
Metric: Medical-term WER
Unit: %
Benchmark version: Omi report edition 2026-10-18.1
Category: medical-transcription
Direction: Lower is better
Sample: 2872
Source type: vendor-reported
Evaluator: Omi Medical benchmark v1.1
Status: disputed
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Rank 5 in Omi's realtime table. Realtime transcription on the 1,513-recording English medical corpus. Rank 5; Omi internal row profile voxtral-mini-transcribe-realtime-3. Metric denominator: 2872.
Context: Omi labels its report edition 2026-10-18.1 and Voxtral accuracy rows only by month (2026-10); batch timing is dated October 18 and realtime timing October 19, before Mistral announced public preview on October 20. The exact endpoint/build is not identified. These are disputed observations, not definitive measurements of the post-release model.

Source Omi Medical benchmark v1.1

Omi Medical realtime: Overall WER (Show measurement, test conditions, and source)

Source value: 7.44
Score: 7.44
Metric: Overall WER
Unit: %
Benchmark version: Omi report edition 2026-10-18.1
Category: medical-transcription
Direction: Lower is better
Sample: 63815
Source type: vendor-reported
Evaluator: Omi Medical benchmark v1.1
Status: disputed
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Rank 5 in Omi's realtime table. Realtime transcription on the 1,513-recording English medical corpus. Rank 5; Omi internal row profile voxtral-mini-transcribe-realtime-3. Metric denominator: 63815.
Context: Omi labels its report edition 2026-10-18.1 and Voxtral accuracy rows only by month (2026-10); batch timing is dated October 18 and realtime timing October 19, before Mistral announced public preview on October 20. The exact endpoint/build is not identified. These are disputed observations, not definitive measurements of the post-release model.

Source Omi Medical benchmark v1.1

Omi Medical realtime: Drug-name errors (Show measurement, test conditions, and source)

Source value: 1.36
Score: 1.36
Metric: Drug-name errors
Unit: %
Benchmark version: Omi report edition 2026-10-18.1
Category: medical-transcription
Direction: Lower is better
Sample: 442
Source type: vendor-reported
Evaluator: Omi Medical benchmark v1.1
Status: disputed
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Rank 5 in Omi's realtime table. Realtime transcription on the 1,513-recording English medical corpus. Rank 5; Omi internal row profile voxtral-mini-transcribe-realtime-3. Metric denominator: 442.
Context: Omi labels its report edition 2026-10-18.1 and Voxtral accuracy rows only by month (2026-10); batch timing is dated October 18 and realtime timing October 19, before Mistral announced public preview on October 20. The exact endpoint/build is not identified. These are disputed observations, not definitive measurements of the post-release model.

Source Omi Medical benchmark v1.1

Omi Medical realtime: Dose/unit matches (Show measurement, test conditions, and source)

Source value: 75.53
Score: 75.53
Metric: Dose/unit matches
Unit: %
Benchmark version: Omi report edition 2026-10-18.1
Category: medical-transcription
Direction: Higher is better
Sample: 94
Source type: vendor-reported
Evaluator: Omi Medical benchmark v1.1
Status: disputed
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Rank 5 in Omi's realtime table. Realtime transcription on the 1,513-recording English medical corpus. Rank 5; Omi internal row profile voxtral-mini-transcribe-realtime-3. Metric denominator: 94.
Context: Omi labels its report edition 2026-10-18.1 and Voxtral accuracy rows only by month (2026-10); batch timing is dated October 18 and realtime timing October 19, before Mistral announced public preview on October 20. The exact endpoint/build is not identified. These are disputed observations, not definitive measurements of the post-release model.

Source Omi Medical benchmark v1.1

Omi Medical realtime: Dose/unit errors (Show measurement, test conditions, and source)

Source value: 24.47
Score: 24.47
Metric: Dose/unit errors
Unit: %
Benchmark version: Omi report edition 2026-10-18.1
Category: medical-transcription
Direction: Lower is better
Sample: 94
Source type: vendor-reported
Evaluator: Omi Medical benchmark v1.1
Status: disputed
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Rank 5 in Omi's realtime table. Realtime transcription on the 1,513-recording English medical corpus. Rank 5; Omi internal row profile voxtral-mini-transcribe-realtime-3. Metric denominator: 94.
Context: Omi labels its report edition 2026-10-18.1 and Voxtral accuracy rows only by month (2026-10); batch timing is dated October 18 and realtime timing October 19, before Mistral announced public preview on October 20. The exact endpoint/build is not identified. These are disputed observations, not definitive measurements of the post-release model.

Source Omi Medical benchmark v1.1

Omi Medical realtime: Dose precision (Show measurement, test conditions, and source)

Source value: 92.21
Score: 92.21
Metric: Dose precision
Unit: %
Benchmark version: Omi report edition 2026-10-18.1
Category: medical-transcription
Direction: Higher is better
Sample: 77
Source type: vendor-reported
Evaluator: Omi Medical benchmark v1.1
Status: disputed
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Rank 5 in Omi's realtime table. Realtime transcription on the 1,513-recording English medical corpus. Rank 5; Omi internal row profile voxtral-mini-transcribe-realtime-3. Metric denominator: 77. Precision denominator is the number of predicted dose/unit events.
Context: Omi labels its report edition 2026-10-18.1 and Voxtral accuracy rows only by month (2026-10); batch timing is dated October 18 and realtime timing October 19, before Mistral announced public preview on October 20. The exact endpoint/build is not identified. These are disputed observations, not definitive measurements of the post-release model.

Source Omi Medical benchmark v1.1

Omi Medical realtime: Dose F1 (Show measurement, test conditions, and source)

Source value: 83.04
Score: 83.04
Metric: Dose F1
Unit: %
Benchmark version: Omi report edition 2026-10-18.1
Category: medical-transcription
Direction: Higher is better
Source type: vendor-reported
Evaluator: Omi Medical benchmark v1.1
Status: disputed
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Rank 5 in Omi's realtime table. Realtime transcription on the 1,513-recording English medical corpus. Rank 5; Omi internal row profile voxtral-mini-transcribe-realtime-3. F1 combines reference and predicted events.
Context: Omi labels its report edition 2026-10-18.1 and Voxtral accuracy rows only by month (2026-10); batch timing is dated October 18 and realtime timing October 19, before Mistral announced public preview on October 20. The exact endpoint/build is not identified. These are disputed observations, not definitive measurements of the post-release model.

Source Omi Medical benchmark v1.1

FLEURS 35 realtime WER at 2400 ms chunk latency (Show measurement, test conditions, and source)

Source value: 5.7
Score: 5.7
Metric: WER
Unit: %
Category: realtime speech recognition
Direction: Lower is better
Source type: vendor-reported
Evaluator: Mistral Voxtral 3 announcement and benchmark tables
Status: active
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Realtime transcription model; FLEURS 35 macro-average, streaming chunk latency set to 2400 ms. The chart's remaining models are realtime.

Source Mistral Voxtral 3 announcement and benchmark tables

FLEURS 35 realtime WER at 960 ms chunk latency (Show measurement, test conditions, and source)

Source value: 6
Score: 6
Metric: WER
Unit: %
Category: realtime speech recognition
Direction: Lower is better
Source type: vendor-reported
Evaluator: Mistral Voxtral 3 announcement and benchmark tables
Status: active
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Realtime transcription model; FLEURS 35 macro-average, streaming chunk latency set to 960 ms. The chart's remaining models are realtime.

Source Mistral Voxtral 3 announcement and benchmark tables

FLEURS 35 realtime WER at 480 ms chunk latency (Show measurement, test conditions, and source)

Source value: 6.4
Score: 6.4
Metric: WER
Unit: %
Category: realtime speech recognition
Direction: Lower is better
Source type: vendor-reported
Evaluator: Mistral Voxtral 3 announcement and benchmark tables
Status: active
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Realtime transcription model; FLEURS 35 macro-average, streaming chunk latency set to 480 ms. The chart's remaining models are realtime.

Source Mistral Voxtral 3 announcement and benchmark tables

FLEURS 35 realtime WER at 240 ms chunk latency (Show measurement, test conditions, and source)

Source value: 7.4
Score: 7.4
Metric: WER
Unit: %
Category: realtime speech recognition
Direction: Lower is better
Source type: vendor-reported
Evaluator: Mistral Voxtral 3 announcement and benchmark tables
Status: active
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Realtime transcription model; FLEURS 35 macro-average, streaming chunk latency set to 240 ms. The chart's remaining models are realtime.

Source Mistral Voxtral 3 announcement and benchmark tables

Omi Medical realtime: Median final latency (Show measurement, test conditions, and source)

Source value: 396
Score: 396
Metric: Median final latency
Unit: ms
Benchmark version: Omi report edition 2026-10-18.1
Category: medical-transcription
Direction: Lower is better
Sample: 199
Source type: vendor-reported
Evaluator: Omi Medical benchmark v1.1
Status: disputed
Retrieved at: 2026-10-24
Methodology: Vendor-reported result. Rank 5 in Omi's realtime table. Realtime from shared end-of-speech to final transcript; 200 short-clip attempts, one invalid attempt excluded from timing (N=199); AWS us-east-2, October 19, 2026. Rank 5; Omi internal row profile voxtral-mini-transcribe-realtime-3. Metric denominator: 199.
Context: Omi labels its report edition 2026-10-18.1 and Voxtral accuracy rows only by month (2026-10); batch timing is dated October 18 and realtime timing October 19, before Mistral announced public preview on October 20. The exact endpoint/build is not identified. These are disputed observations, not definitive measurements of the post-release model.

Source Omi Medical benchmark v1.1

Page 1 of 2

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

0 to 100, higher is more popular

20 of 83 models

pyannote Community-173

Nemotron-3-Diarization57

Gemini 3.5 Transcribe52

Confucius4-R2T252

Granite Speech 5.0 470M TurboCTC52

Kokoro-82M51

Nova-351

Fish Audio S2 Pro51

NVIDIA Nemotron 3.5 Transcribe50

Granite Speech 5.0 470M TurboCTC NC50

Orukeet49

Lyria 3.547

Gemini 3.5 Live Translate46

Phonon-244

Aura-244

Gemini 3.1 Flash TTS44

MiniMax-Music341

Audio8-ASR-Infinite41

GPT-Realtime 2.141

Voxtral Mini Transcribe Realtime 30

pyannote Community-1

Nemotron-3-Diarization

Gemini 3.5 Transcribe

Confucius4-R2T2

Granite Speech 5.0 470M TurboCTC

Kokoro-82M

Nova-3

Fish Audio S2 Pro

NVIDIA Nemotron 3.5 Transcribe

Granite Speech 5.0 470M TurboCTC NC

Orukeet

Lyria 3.5

Gemini 3.5 Live Translate

Voxtral Mini Transcribe Realtime 3

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from November 1, 2026 to November 5, 2026

Voxtral Mini Transcribe Realtime 3Amazon Nova 2 SonicEleven Multilingual STS v2Eleven Music v2.5Eleven Text to Sound v2

All specifications

Input and output

Input: Streaming audio; Source: Input
Output: Streaming transcript with speaker labels and end-of-turn detection; Source: Output

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking: Unknown; no source
Watermarking technique: Not known; no source

Licence and access

Release: Listed in the audio overview; no separate announcement or release date specified; Source: Release
Access: Mistral API; real-time mode over WebSocket; Source: Access
Release: Oct 20, 2026; Source: Release

API

API model ID: voxtral-mini-transcribe-realtime-3-0; Source: API model ID

Further details

Chunk latency: Configurable from 80 to 2,400 milliseconds; Source: Chunk latency
Audio chunk latency in milliseconds: 80-2400; Source: Audio chunk latency in milliseconds
Language support in the current documentation: The language table lists voxtral-mini-transcribe-realtime-3-0 with support for 45 languages and dialects.; Source: Language support in the current documentation
Model ID in the API examples: Official request docs show the model string voxtral-mini-transcribe-realtime-3. (The model card uses voxtral-mini-transcribe-realtime-3-0; the request documentation omits trailing '-0' and does not explain whether they are aliases.); Source: Model ID in the API examples
Documented realtime interface: WebSocket through /v1/audio/transcriptions/realtime, with the realtime model passed as a query parameter.; Source: Documented realtime interface

Prices

Price: USD 0.008 per audio minute; cached rate USD 0.0008 per minuteSource
Price per audio minute in USD: 0.008Source
Cached price per audio minute in USD: 0.0008Source

Sources and data date

Show all 25 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.

Without vendor claims and historical or disputed results; those stay labelled in the single values.

Type	Evidence and data date
Research status	Research date October 24, 2026. 90 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not published	Model weights and license Note The public API model card does not state downloadable weights or an open-source license.
Not found in the inspected sources	Realtime results by language Note The public realtime chart reports FLEURS 35 macro-averages by chunk latency, not per-language scores.
Unresolved	Exact Omi endpoint and model build Note Omi names the product and an internal profile key but not the exact API endpoint or model metadata. The timing conflict prevents a definitive match to the public version announced on October 20.
Unresolved	Model card to request ID crosswalk Note The model card uses voxtral-mini-transcribe-realtime-3-0, while the request example uses voxtral-mini-transcribe-realtime-3. Public documentation does not say whether the identifiers are interchangeable.
Unresolved	Exact independent result for Voxtral Mini Transcribe Realtime 3.0 Note Artificial Analysis publishes a different 480 ms variant ID; no exact API/model bridge to the target profile ID was found. No legacy realtime score is transferred.
Not found in the inspected sources	Open ASR leaderboard result for exact Voxtral Mini Transcribe Realtime 3.0 ID Note The current Open ASR board did not expose this exact ID; older Voxtral 2507 entries are version-mismatched.
Additional source	Mistral audio models overview (retrieved October 24, 2026)
Additional source	Mistral speech transcription overview (retrieved October 24, 2026) · Mistral speech transcription overview · Editorial description reviewed October 24, 2026
Additional source	Mistral model changelog (retrieved October 24, 2026)
Additional source	Mistral inference pricing (retrieved October 24, 2026)
Additional source	Voxtral realtime transcription benchmark charts (retrieved October 24, 2026) · Mistral Voxtral 3 announcement · Editorial description reviewed October 24, 2026
Additional source	Omi Medical benchmark v1.1 (retrieved October 24, 2026)
Additional source	Model metadata (retrieved October 24, 2026)1 2 3 4 5 6 7 8 9 10 11 12 13
Additional source	OpenRouter: Popularity index (derived), CC BY 4.0
Additional source	Vercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional source	Ollama: cumulative downloads for the popularity index
Additional source	Replicate: cumulative runs for the popularity index
Additional source	Google Trending Now: limited feed selection for Germany and the US
Additional source	Creative Commons Attribution 4.0