Multilingual speech generation
Generates realistic, emotionally expressive speech and is positioned for multilingual voice generation across nine supported languages.
Voxtral TTS is Mistral’s text-to-speech model for lifelike multilingual speech, voice agents, and enterprise voice workflows with low latency.
Voxtral TTS is Mistral’s first text-to-speech model, announced as an open-weights system for multilingual voice generation. It is designed to turn text into lifelike speech for voice agents and other speech interfaces, with a focus on naturalness, low latency, and easy adaptation to new voices.
Mistral positions the model for enterprise voice workflows where both quality and speed matter. The announcement highlights support for nine languages, emotionally expressive speech, custom voice adaptation from short references, and access through Mistral Studio, Le Chat, the API, and open weights on Hugging Face.
Generates realistic, emotionally expressive speech and is positioned for multilingual voice generation across nine supported languages.
Supports custom voice adaptation from short reference audio, including accent, intonation, pauses, and other speaking nuances.
Designed for low-latency streaming, with a reported 70 ms model latency for a typical 10-second voice sample and 500 characters.
Works with a compact 4B-parameter model footprint, which Mistral says helps keep voice-agent deployments natural and cost-effective at scale.
Supports cross-lingual voice adaptation and can generate speech in one language using a voice prompt from another language.
Can be tested in Mistral Studio, and the source says the API also includes preset voices plus the option to extend to an in-house voice library.
Generate spoken responses for assistants and agents that need natural, expressive voice output rather than a flat readout of text.
Localize customer-facing audio into supported languages while keeping the delivered speech consistent with a reference voice or accent.
Create speech-to-speech translation flows where the generated output should retain the character of a source voice while changing language.
Prototype or refine a branded in-house voice by testing voice references in Mistral Studio before wiring the model into production systems.
Use the API or open weights to add speech output to existing LLM or speech-to-text pipelines without replacing the rest of the stack.
Voxtral TTS is available now via API, and Mistral also says it can be tried in Mistral Studio and in Le Chat.
The source says it supports 9 languages: English, French, German, Spanish, Dutch, Portuguese, Italian, Hindi, and Arabic.
The model is described as taking a voice prompt of about 5 to 25 seconds and a text prompt. Mistral also says it can adapt to a custom voice with as little as 3 seconds of reference audio.
The announcement says the API handles arbitrarily long generations with smart interleaving, while the model itself natively generates up to two minutes of audio.
Mistral says a model with several reference voices is available as open weights on Hugging Face under CC BY NC 4.0.
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