Voxtral 3 Text-to-Speech: Tags, Cloning, Limits (2026)

Vorec Team · 2026-11-02 · About 10 min read

On 20 October 2026, Mistral released Voxtral 3, a family of speech-to-text and text-to-speech models plus a voice agent SDK. The text-to-speech model, Voxtral TTS 3 (`voxtral-mini-tts-3-0`), is in public preview at $13 per million characters. Mistral's docs list 35 languages with 50+ dialects, 34 inline emotion tags, zero-shot voice cloning from a short clip, professional cloning from 30 minutes to 3 hours of audio, phoneme-level pronunciation hints, and mp3, wav, pcm, flac and opus output. Style instructions are listed as not available at launch.

This page summarises Mistral's Voxtral 3 announcement and its audio documentation, read on 27 October 2026. We haven't run the model ourselves, and every benchmark below is Mistral's own. Where something is our reading rather than Mistral's statement, we say so. The model is in public preview, so details may change.

Voxtral TTS 3 at a glance

QuestionWhat Mistral's docs say
Released20 October 2026, public preview (model page)
Model IDs`voxtral-mini-tts-3-0` (offline, with streaming); `voxtral-mini-tts-realtime-3-0` (realtime)
Price$13 per 1M characters
Languages35 languages, 50+ regional dialects
Preset voices22 locale entries (21 distinct language names) in the docs' preset table; English has the most (6 UK, 4 US)
Emotion control34 emotion values, written inline as `[emotion=calm]`
Pace controlInline `[pace=...]` tags; the docs disagree on how many values exist (see below)
CloningZero-shot from a short MP3 or WAV clip; professional cloning from 30 minutes to 3 hours
PronunciationPhoneme hints from a closed list of 50 phonemes
Output formatsmp3, wav, pcm, flac, opus
Not at launchStyle instructions (describing the whole delivery in plain words)
Where it runsMistral API (European, US and global endpoints) or self-deployment

How Voxtral 3 directs a voice

Four small tag cards feeding one waveform towards a speaking face, riso-collage style

Voxtral 2 handled emotion by giving each preset speaker one variant per mood. The migration guide uses `gb_jane_sad` as its example. Voxtral 3 moves emotion into the text itself. According to the emotion and pace tags page:

The 34 emotions run from amused, calm and confident to urgent, warm and wistful. Old Voxtral 2 preset IDs are still accepted, so existing integrations keep working.

One limit matters for multilingual work. Mistral says emotion, pace and disfluency tags work in English, and are "untested but expected to work" in French, German, Spanish, Italian, Portuguese and Hindi. For the other supported languages, the docs make no claim either way.

Expressiveness and pronunciation

Two more controls are documented. Expressiveness is a number of 1.0 or higher; the docs say higher values trade voice similarity for stronger delivery, and the default is set by the service. Custom pronunciation takes phoneme hints from a closed list of 50 phonemes, for names and terms the model would otherwise misread. Mistral's announcement demonstrates this with invented product and assistant names.

Voice cloning: two different things

One script sending audio to six speakers in speech bubbles, riso-collage style

Mistral documents two kinds of cloning on its voice cloning page, and they need very different amounts of audio.

Zero-shot cloningProfessional cloning (Pro Voice)
Audio neededA short recording; the limits page says a few seconds to a few minutes30 minutes to 3 hours of clean, single-speaker audio, per Mistral's recommendation
TrainingNoneNot described as zero-shot; Mistral calls it an adaptation of the speaker's character and range
How you use itSend the clip with one request, or save it as a voice and reuse its IDNot detailed on the cloning page beyond the recording advice
Saved voice retention30 days by default, settable from 1 to 365 days via the APINot stated

Mistral's recording advice for professional cloning is practical: record in a quiet room with the same microphone and setup throughout, speak in the style you want reproduced, and include a range of emotions, because a single flat tone can make the clone sound robotic. The docs add that consistency matters more than length.

A cloned voice isn't tied to the language of its recording. For languages that have no preset voice, Mistral suggests cloning from a recording in the target language.

When the announcement mentions "voice cloning from 30+ minutes of sampled audio", that figure describes the professional tier. The everyday zero-shot clone, per the docs, works from a much shorter clip.

Where Mistral's own docs disagree

We read the announcement and the linked documentation pages on the same day. Three details don't line up, and we report them as found rather than picking a side:

  1. Pace tags. The model page says "2 pace tags", and the limits page lists "slow or fast". The emotion and pace tags page shows a five-row table: very-slow, slow, moderate, fast and very-fast.
  2. Preset-voice languages. The announcement says voice presets are available in 18 languages. The languages page lists preset voices in 22 locale entries, which is 21 distinct language names because UK and US English have separate rows. That list includes Japanese, Polish, Turkish and Ukrainian, none of which appear in the announcement's 18.
  3. Cloning audio. As above, "30+ minutes" in the announcement refers to Pro Voice. The zero-shot clip on the limits page is a few seconds to a few minutes.

Our reading: the docs and the announcement were probably written at different stages of the preview. If you build on a specific value, test it, because the API doesn't return an error for a tag value it doesn't recognise.

Price, and what the benchmarks do and don't show

Voxtral TTS 3 costs $13 per million characters on the model page. In smaller units:

Text lengthArithmeticCost
1,000 characters1,000 ÷ 1,000,000 × $13$0.013
10,000 characters10,000 ÷ 1,000,000 × $13$0.13
100,000 characters100,000 ÷ 1,000,000 × $13$1.30

The announcement says this costs less to run than comparable models from OpenAI TTS-1, Deepgram, ElevenLabs Flash and Gemini Flash. That's Mistral's comparison, and the other vendors' prices weren't checked for this page.

The announcement also publishes quality-per-dollar charts. Read them with their methods in mind:

A vendor's benchmark tells you what the vendor chose to measure. It isn't an independent ranking, and it doesn't cover a ten-minute tutorial voiceover.

What the rest of Voxtral 3 adds

The release isn't only TTS. Per the announcement:

One change matters if you make captions. The migration guide says word-level timestamps are gone from Voxtral 3 transcription: `timestamp_granularities` accepts `segment` only, and `word` returns a 400 error. Segment timestamps still work for subtitles, but anything that highlights captions word by word needs another source of word timing.

What this means for narrating tutorials

Our reading of where Voxtral TTS 3 fits for screen tutorials, demos and training videos:

That last point is where Vorec comes in. Vorec isn't built on Voxtral, and it doesn't need you to write a script at all. Vorec has its own macOS recorder, and an AI coding agent can drive it for you through the Claude Code plugin, with the take staying on your Mac until you've reviewed it. Vorec then drafts narration matched to the workflow it captured and generates the voiceover, and freeze-sync can hold a frame so an explanation has time to finish. Narration regenerates in supported languages on eligible plans without re-recording, and you can generate a written step-by-step guide from the same capture. You can also upload a recording you already have.

Vorec starts with a free trial, no credit card required (current allowances are on the pricing page). The trial includes up to 3 projects, and exports carry a watermark. Paid plans are Starter at $9 a month ($86 a year), Pro at $24 a month ($230 a year) and Business at $59 a month ($566 a year). For other speech models, see our pages on Eleven v4 and ElevenLabs alternatives, or our guide to adding an AI voice to a screen recording.

FAQ

What is Voxtral 3?

A family of Mistral speech models released on 20 October 2026: Voxtral Small and Mini Transcribe 3 for speech-to-text, a realtime transcription model, Voxtral TTS 3 for text-to-speech, and a voice agent SDK. Mistral's model page lists Voxtral TTS 3 as a public preview.

How much does Voxtral TTS 3 cost?

$13 per million characters, per Mistral's model page. That works out to $0.013 per 1,000 characters.

How many languages does Voxtral TTS 3 support?

35 languages and 50+ regional dialects, per Mistral's languages page. Preset voices cover fewer languages; for the rest, Mistral suggests cloning a voice from a recording in the target language.

How much audio does Voxtral voice cloning need?

Zero-shot cloning uses a short MP3 or WAV clip, which the limits page puts at a few seconds to a few minutes. Professional cloning, which Mistral calls Pro Voice, needs 30 minutes to 3 hours of clean, single-speaker audio.

Does Voxtral TTS 3 support emotion control?

Yes, through 34 inline emotion tags such as `[emotion=warm]`, plus pace and disfluency tags. Mistral says the tags work in English, and are untested but expected to work in French, German, Spanish, Italian, Portuguese and Hindi.

Can Voxtral 3 transcription give word-level timestamps?

No. Mistral's migration guide says Voxtral 3 transcription returns segment timestamps only, and a request for word timestamps returns a 400 error.

Can I run Voxtral 3 on my own servers?

Mistral says Voxtral 3 is available through its API on European, US and global endpoints, or for self-deployment on your own infrastructure.

Sources: Mistral, Voxtral 3 announcement; Mistral docs: Voxtral TTS 3 model page, Text to Speech overview, Emotion and pace tags, Voice cloning, Limits, Languages and Migrate from Voxtral 2. All checked 27 October 2026.

Want the recording to narrate itself? Record with Vorec, or upload one you already have, and get a narrated tutorial plus a written guide. Start free. Trial includes up to 3 projects; exports carry a watermark.

← Back to blog