Voxtral transcribes at the speed of sound.
Today, we're releasing Voxtral Transcribe 2, two next-generation speech-to-text models with state-of-the-art transcription quality, diarization, and ultra-low latency. The family includes Voxtral Mini Transcribe V2 for batch transcription and Voxtral Realtime for live applications. Voxtral Mini Transcribe V2: State-of-the-art transcription with speaker diarization, context biasing, and word-level timestamps in 13 languages. Word error rate (lower is better) across languages in the FLEURS transcription benchmark.
The Core Development
Today, we're releasing Voxtral Transcribe 2, two next-generation speech-to-text models with state-of-the-art transcription quality, diarization, and ultra-low latency. The family includes Voxtral Mini Transcribe V2 for batch transcription and Voxtral Realtime for live applications. Voxtral Realtime is open-weights under the Apache 2.0 license.
We're also launching an audio playground in Mistral Studio to test transcription instantly, powered by Voxtral Transcribe 2, with diarization and timestamps.
Voxtral Mini Transcribe V2: State-of-the-art transcription with speaker diarization, context biasing, and word-level timestamps in 13 languages.
How It Works & Technical Architecture
Open weights: Voxtral Realtime ships under Apache 2.0, deployable on edge for privacy-first applications.
Voxtral Realtime is purpose-built for applications where latency matters. Unlike approaches that adapt offline models by processing audio in chunks, Realtime uses a novel streaming architecture that transcribes audio as it arrives. The model delivers transcriptions with delay configurable down to sub-200ms, unlocking a new class of voice-first applications.
The model is natively multilingual, achieving strong transcription performance in 13 languages, including English, Chinese, Hindi, Spanish, Arabic, French, Portuguese, Russian, German, Japanese, Korean, Italian, and Dutch. With a 4B parameter footprint, it runs efficiently on edge devices, ensuring privacy and security for sensitive deployments.
We’re releasing the model weights under Apache 2.0 on the Hugging Face Hub.
Deployment & Availability
Provide up to 100 words or phrases to guide the model toward correct spellings of names, technical terms, or domain-specific vocabulary. Particularly useful for proper nouns or industry terminology that standard models often miss. Context biasing is optimized for English; support for other languages is experimental.
Both models support GDPR and HIPAA-compliant deployments through secure on-premise or private cloud setups.
Strategic Perspective & Ecosystem Impact
Voxtral Realtime: Purpose-built for live transcription with latency configurable down to sub-200ms, enabling voice agents and real-time applications.
Best-in-class efficiency: Industry-leading accuracy at a fraction of the cost, with Voxtral Mini Transcribe V2 achieving the lowest word error rate, at the lowest price point.
Word error rate (lower is better) across languages in the FLEURS transcription benchmark.
Why it matters
Voxtral transcribes at the speed of sound.. Covered by Mistral News on February 4, 2026.