mistralai
Mistral: Voxtral Mini TTS
mistralai/voxtral-mini-tts-2603
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to OpenRouter's catalog, mistralai/voxtral-mini-tts-2603 is Mistral's Voxtral Mini TTS, a text-to-speech model that takes text input and returns speech. The catalog description reports zero-shot voice cloning and multilingual support, but the source pack includes no independent model card or measured quality results. Treat those capabilities as vendor or catalog claims and validate output quality, language coverage, and cloning behavior on the intended workload before production use.[1]
Strengths
Limitations
- Evidence is catalog-only; an independent model card was not available in the source pack.[1]
- No measured quality or benchmark data is supplied, so audio quality, latency, language coverage, and cloning fidelity require workload validation.[1]
- The catalog lists no supported request parameters, leaving configurability unclear.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Mistral: Voxtral Mini TTSSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Voxtral Mini TTS is Mistral's text-to-speech model featuring zero-shot voice cloning and multilingual support. It converts text input into natural-sounding audio output.
Specifications
- Model ID
- mistralai/voxtral-mini-tts-2603
- Creator
- mistralai
- Added to OpenRouter
- 19.04.2026
- Context length
- 4,096
- Modality
- text->speech
- Input modalities
- text
- Output modalities
- speech
- 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 | — |
| 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 | 4,096 | — | — | — | — | 100% |
| Mistral | 4,096 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.