mistralai
Mistral: Voxtral Mini Transcribe
mistralai/voxtral-mini-transcribe
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter’s catalog presents mistralai/voxtral-mini-transcribe as Mistral’s dedicated speech-to-text variant from the Voxtral Mini family. It is listed as accepting audio and returning transcript text through a standard transcription API, with meeting transcription identified as a fitting use. These are catalog-reported capabilities, not measured results. No independent model card was available in this source pack, and the evidence does not establish accuracy, latency, language coverage, robustness, deployment constraints, or operational behavior.[1]
Strengths
- Catalog-reported purpose-built speech-to-text variant derived from the Voxtral Mini family.[1]
- Accepts audio and returns transcript text through a standard transcription API, according to the catalog.[1]
- Meeting transcription is explicitly identified as a suitable target, giving teams a concrete workload to evaluate.[1]
Limitations
- Evidence comes only from an OpenRouter catalog listing; an independent model card was not available in this source pack.[1]
- The supplied source provides no measured results, so accuracy, latency, language coverage, and robustness remain unknown.[1]
- The catalog lists no supported request parameters and does not document diarization, timestamp handling, or output-format controls.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Mistral: Voxtral Mini TranscribeSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Voxtral Mini Transcribe is Mistral's speech-to-text model, derived from the Voxtral Mini family. It accepts audio input and returns transcribed text via the standard transcription API. Suited for transcribing meetings,...
Specifications
- Model ID
- mistralai/voxtral-mini-transcribe
- Canonical ID
- mistralai/voxtral-mini-transcribe-2602
- Creator
- mistralai
- Added to OpenRouter
- 15.05.2026
- Context length
- 16,384
- Modality
- audio->transcription
- Input modalities
- audio
- Output modalities
- transcription
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | input: audio |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Mistral | 16,384 | — | — | — | — | 100% |
| Mistral | 0 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.