PricingPricing starts at $0.016 per 1k characters.
MISTRAL AI · MODEL RELEASE TRACKER
Voxtral TTS
Voxtral TTS is a 4B-parameter text-to-speech model from Mistral AI (announced 2026-03-23) that targets multilingual, emotionally expressive voice generation in 9 languages with support for diverse dialects. The model emphasizes contextual understanding, speaker modeling, zero-shot cross-lingual voice adaptation, low latency, and easy voice adaptation. It is offered via API and Mistral Studio with pricing starting at $0.016 per 1k characters.CURRENT SNAPSHOT4/5 DIMENSIONS WITH DATA
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Modality and language supportText-to-speech model providing multilingual voice generation in 9 languages with support for diverse dialects.
Performance claimDescribed by Mistral as delivering "state-of-the-art" performance in multilingual voice generation; mentions automated metrics such as word-error-rate.
AvailabilityAvailable via API and Mistral Studio (Mistral Voices).
VERIFIABLE FACTS
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RELEASE · Release / relation to developerDEVELOPER CLAIM
Announced by Mistral AI on 2026-03-23; described as Mistral's first text-to-speech model.
CAPABILITIES · Parameter countDEVELOPER CLAIM
4 billion parameters
MODALITIES · Modality and language supportDEVELOPER CLAIM
Text-to-speech model providing multilingual voice generation in 9 languages with support for diverse dialects.
CAPABILITIES · Expressiveness, contextual understanding, and voice adaptationDEVELOPER CLAIM
Claims realistic, emotionally expressive speech; excels at contextual understanding and speaker modeling; supports easy voice adaptation and zero-shot cross-lingual voice adaptation.
CAPABILITIES · Latency and intended use casesDEVELOPER CLAIM
Described as lightweight with low latency and suitable for enterprise voice workflows and scalable AI agents.
AVAILABILITY · AvailabilityDEVELOPER CLAIM
Available via API and Mistral Studio (Mistral Voices).
PRICING · PricingDEVELOPER CLAIM
Pricing starts at $0.016 per 1k characters.
BENCHMARKS · Performance claimDEVELOPER CLAIM
Described by Mistral as delivering "state-of-the-art" performance in multilingual voice generation; mentions automated metrics such as word-error-rate.
WHAT CHANGED