Mistral’s speech models for transcription, TTS and agents
Voxtral 3 is Mistral’s new family of speech-to-text and text-to-speech models, plus a voice agent SDK built on LiveKit. Transcription covers 50+ languages with diarization and context biasing, and realtime transcription runs under 500ms. TTS adapts emotion and pacing, with voice cloning from 30+ minutes of audio. Batch transcription starts at $0.0035 per minute, and the models are available through Mistral’s API.
Voxtral 3 is Mistral’s new family of speech models: speech-to-text, text-to-speech and a voice agent SDK, all through Mistral’s API.
Problem: Building a voice agent usually means gluing together separate pieces for transcription, reasoning and speech. Transcription also tends to break down on real calls, with several speakers, domain terms and many languages, and robotic voices make conversations feel stiff.
Solution: Voxtral 3 covers the full loop. There are batch and realtime transcription models, a text-to-speech model, and an SDK built on LiveKit that combines listening, reasoning, tool calling and speaking in one real-time pipeline.
What makes it different: Each stage of the voice agent is a separate model, so you can swap the LLM, the voice or the language. Transcription handles context biasing with keyterms or free-form text, no fine-tuning needed, and the TTS adapts emotion, pacing and emphasis to the conversation. Per Mistral, realtime transcription runs under 500 ms, and a full agent turn completes in under a second.
Key features:
Voxtral Small Transcribe 3 for the highest accuracy, with speaker diarization and context biasing
Voxtral Mini Transcribe 3 for batch transcription (4B parameters)
Voxtral Mini Transcribe Realtime 3 for agents, with sub-500 ms latency
Voxtral Mini TTS 3 with emotion, pacing and emphasis controls, and voice cloning from about 30 minutes of audio
Transcription in 50+ languages, and TTS in 35+ languages and 50+ dialects
Voice agent SDK with function calling, web search, SIP telephony and WebRTC
Self-deployment and on-prem through Mistral sales
Pricing per Mistral: batch transcription from $0.0035 per minute, realtime transcription at $0.008 per minute, TTS at $13 per 1M characters, and the voice agent API from $0.04 per minute.
Who it’s for: Developers and teams building voice agents, call transcription, or multilingual voice apps who want one provider for the whole pipeline.
About Mistral Voxtral 3 on Product Hunt
“Mistral’s speech models for transcription, TTS and agents”
Mistral Voxtral 3 launched on Product Hunt on October 22nd, 2026 and earned 212 upvotes and 5 comments, placing #5 on the daily leaderboard. Voxtral 3 is Mistral’s new family of speech-to-text and text-to-speech models, plus a voice agent SDK built on LiveKit. Transcription covers 50+ languages with diarization and context biasing, and realtime transcription runs under 500ms. TTS adapts emotion and pacing, with voice cloning from 30+ minutes of audio. Batch transcription starts at $0.0035 per minute, and the models are available through Mistral’s API.
On the analytics side, Mistral Voxtral 3 competes within Artificial Intelligence — topics that collectively have 481.8k followers on Product Hunt. The dashboard above tracks how Mistral Voxtral 3 performed against the three products that launched closest to it on the same day.
Who hunted Mistral Voxtral 3?
Mistral Voxtral 3 was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Rohan Chaubey
Voxtral 3 is Mistral’s new family of speech models: speech-to-text, text-to-speech and a voice agent SDK, all through Mistral’s API.
Problem: Building a voice agent usually means gluing together separate pieces for transcription, reasoning and speech. Transcription also tends to break down on real calls, with several speakers, domain terms and many languages, and robotic voices make conversations feel stiff.
Solution: Voxtral 3 covers the full loop. There are batch and realtime transcription models, a text-to-speech model, and an SDK built on LiveKit that combines listening, reasoning, tool calling and speaking in one real-time pipeline.
What makes it different: Each stage of the voice agent is a separate model, so you can swap the LLM, the voice or the language. Transcription handles context biasing with keyterms or free-form text, no fine-tuning needed, and the TTS adapts emotion, pacing and emphasis to the conversation. Per Mistral, realtime transcription runs under 500 ms, and a full agent turn completes in under a second.
Key features:
Voxtral Small Transcribe 3 for the highest accuracy, with speaker diarization and context biasing
Voxtral Mini Transcribe 3 for batch transcription (4B parameters)
Voxtral Mini Transcribe Realtime 3 for agents, with sub-500 ms latency
Voxtral Mini TTS 3 with emotion, pacing and emphasis controls, and voice cloning from about 30 minutes of audio
Transcription in 50+ languages, and TTS in 35+ languages and 50+ dialects
Voice agent SDK with function calling, web search, SIP telephony and WebRTC
Self-deployment and on-prem through Mistral sales
Pricing per Mistral: batch transcription from $0.0035 per minute, realtime transcription at $0.008 per minute, TTS at $13 per 1M characters, and the voice agent API from $0.04 per minute.
Who it’s for: Developers and teams building voice agents, call transcription, or multilingual voice apps who want one provider for the whole pipeline.