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mistralai

Mistral: Voxtral TTS 3

mistralai/voxtral-mini-tts-3-0

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

Voxtral TTS 3 (mistralai/voxtral-mini-tts-3-0) is a Mistral text-to-speech model listed in the OpenRouter catalog, which describes text input and speech output. Per that listing, it converts text into natural-sounding speech, offers a library of preset voices, supports zero-shot voice cloning, and accepts emotion and pace tags. The catalog reports a 4096-token context length. Because the only supplied evidence is this catalog entry, with no independent model card or benchmark data, these capabilities are source-reported rather than independently measured.[1]

Strengths

  • OpenRouter's catalog reports zero-shot voice cloning plus a preset voice library, so voice selection should be flexible.[1]
  • The listing describes emotion and pace tags, which suggests controllable speech delivery.[1]
  • The catalog states a single text-to-speech pipeline with a 4096-token context length.[1]

Limitations

  • Evidence is limited to the OpenRouter catalog entry; no independent model card was available in this source pack.[1]
  • The listing shows no benchmark results or supported parameters, so audio quality and behavior need validation on real workloads.[1]
  • Language coverage, licensing, and hardware requirements are not documented in the supplied evidence; missing data is not a proven weakness.[1]

Where to use it

  • Potentially suitable for prototyping narration, assistant voices, or dialogue drafts using preset or cloned voices; test fidelity on your own scripts first.[1]
  • Worth evaluating where tagged control of emotion and pacing matters, such as audiobook-style content; treat this as a suggestion, not a measured result.[1]
  • Evaluate cost and latency against your volume before production adoption, since the evidence pack lacks performance data.[1]

Sources

  1. [1] OpenRouter catalog · Mistral: Voxtral TTS 3Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Voxtral TTS 3 is Mistral's text-to-speech model. It converts text into natural-sounding speech, offers a library of preset voices, supports zero-shot voice cloning, and accepts emotion and pace tags in...

Specifications

Model ID
mistralai/voxtral-mini-tts-3-0
Canonical ID
mistralai/voxtral-mini-tts-3-0-20261020
Creator
mistralai
Added to OpenRouter
20.10.2026
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.

TaskGradeSource-declared capability
General qualityNo measurement—
CodingNo measurement—
AgentsNo measurement—
WritingNo measurement—
ReasoningNo measurement—
Document analysisNo measurement—
VisionNo measurement—
Image generationNo measurement—
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo 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.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Mistral4,096————100%
Mistral4,096—————

Provider data retrieved: 13.11.2026

No published articles identify this model yet.