Voxtral

Voice: the original UI.

Voice was humanity’s first interface—long before writing or typing, it let us share ideas, coordinate work, and build relationships. As digital systems become more capable, voice is returning as our most natural form of human-computer interaction.

Yet today’s systems remain limited—unreliable, proprietary, and too brittle for real-world use. Closing this gap demands tools with exceptional transcription, deep understanding, multilingual fluency, and open, flexible deployment.

We release the Voxtral models to accelerate this future. These state‑of‑the‑art speech understanding models are  available in two sizes—a 24B variant for production-scale applications and a 3B variant for local and edge deployments. Both versions are released under the Apache 2.0 license, and are also available on our API. The API routes transcription queries to a transcribe-optimized version of Voxtral Mini (Voxtral Mini Transcribe) that delivers unparalleled cost and latency-efficiency. For a comprehensive understanding of the research and development behind Voxtral, please refer to our detailed research paper, available for download here.

Open, affordable, and production-ready speech understanding for everyone. 

Until recently, gaining truly usable speech intelligence in production meant choosing between two trade-offs:

1. Open-source ASR systems with high word error rates and limited semantic understanding

2. Closed, proprietary APIs that combine strong transcription with language understanding, but at significantly higher cost and with less control over deployment

Voxtral bridges this gap. It offers state-of-the-art accuracy and native semantic understanding in the open, at less than half the price of comparable APIs. This makes high-quality speech intelligence accessible and controllable at scale. 

Both Voxtral models go beyond simple transcription with capabilities that include:

Benchmarks

Speech Transcription

Macro-average details: