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Model details

Voxtral Mini (latest)

Voxtral Mini sits inside Mistral's Voxtral speech-to-text family, which was refreshed as the Transcribe 2 generation announced on February 4, 2026. Within that family, the Mini variant is positioned as the batch-oriented transcription model, built for offline or asynchronous workloads rather than live streaming. Its companion sibling, Voxtral Realtime, is a separate model aimed at live applications and ships under the Apache 2.0 open-weights license; the Mini model itself is delivered through Mistral's commercial surface and is paired with a Mistral Studio audio playground that exposes diarization and timestamps for quick testing.

For practical fit, Voxtral Mini is shaped around high-quality, structured speech-to-text rather than open-ended conversation. It produces transcripts with speaker diarization, context biasing, and word-level timestamps across thirteen languages, and Mistral positions it as a best-in-class efficiency option that delivers the lowest word error rate at a comparatively low price point. The result is a model well suited to call-center analytics, meeting transcription, podcast indexing, and other pipeline tasks where reliable multi-speaker transcripts and timing metadata matter more than real-time interactivity.

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Provider
Mistral
Model key
voxtral-mini-latest
Release date
Feb 1, 2026
Last updated
Feb 1, 2026
Input modalities
Output modalities
Capabilities
Base catalog fields only

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0 tokens
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Latest news about Voxtral Mini (latest)

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Coverage

Simon Willison's mistral tag archive provides independent third-party coverage of the Voxtral Transcribe 2 launch, confirming the open-weights Realtime model is named Voxtral-Mini-4B-Realtime-2602, ships as an 8.87GB download on Hugging Face, and is callable via a browser-based live demo. Willison personally tested the The same tag page bundles context on adjacent Mistral releases, including the March 2026 launch of Mistral Small 4 as a 119B MoE model unifying Magistral reasoning, Pixtral multimodal, and Devstral coding capabilities, plus the Leanstral model tuned for Lean 4 formally verifiable coding. These items are useful for situ

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