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Mistral's revenue numbers are impressive and growing insanely fast but the bit that's most exciting as an investor is the durability of this revenue. Mistral selects who they work with carefully to ensure they actually achieve AI transformation.
→ View original post on X — @guillaumelample, 2026-02-11 10:50 UTC
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Voxtral can now directly stream audio input into text output. Perfect for:
— Mistral AI for Developers (@MistralDevs) 6 février 2026
– Live subtitles
– Language learning apps
– Note-taking tools
– And more!
Made a demo for you to try directly on hugging face ! pic.twitter.com/kHLqGo41Pq
Voxtral can now directly stream audio input into text output. Perfect for:
– Live subtitles
– Language learning apps
– Note-taking tools
– And more! Made a demo for you to try directly on Hugging Face! [Translated from EN to English]
→ View original post on X — @guillaumelample, 2026-02-06 19:45 UTC
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Voxtral (from @MistralAI) transcription quality is quite incredible, the way it handles the punctation and all the rest, makes transcribed audio messages so much more understandable. I implemented a few fixes in the FFT and now there is no longer a skipped tokens issue in voxtral.c
→ View original post on X — @guillaumelample, 2026-02-06 10:11 UTC
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The demo on https://t.co/ozhOG8iPeH is worth a try – ignore the "No microphone found" message, clicking "Record" and allowing your browser to use a microphone fixes that. It transcribes very accurately in almost real-time. It's really impressive. https://t.co/LOJUsT2sPW
— Simon Willison (@simonw) 4 février 2026
The demo on huggingface.co/spaces/mistra… is worth a try – ignore the "No microphone found" message, clicking "Record" and allowing your browser to use a microphone fixes that. It transcribes very accurately in almost real-time. It's really impressive. Mistral AI (@MistralAI) Introducing Voxtral Transcribe 2, next-gen speech-to-text models by @MistralAI. State-of-the-art transcription, speaker diarization, sub-200ms real-time latency. Details in 🧵 — https://nitter.net/MistralAI/status/2019068826097213953#m
→ View original post on X — @guillaumelample, 2026-02-04 18:29 UTC
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Congrats to @MistralAI on releasing Voxtral Mini 4B Realtime! 🎉 Day-0 support in vLLM! A 4B streaming ASR model achieving <500ms latency while matching offline model accuracy, supporting 13 languages. vLLM's new Realtime API `/v1/realtime` provides audio streaming – optimized for voice assistants, live subtitles, and meeting transcription! Thanks to the close collaboration between the vLLM community and @MistralAI for making this production-grade support possible 🤝 📑Model & Usage: huggingface.co/mistralai/Vox… Mistral AI (@MistralAI) Voxtral Realtime is built for voice agents and live applications. Its natively streaming architecture delivers latency configurable to sub-200ms. And at 480ms, it stays within 1-2% WER of our offline model. We release the model as open weights under Apache 2.0. — https://nitter.net/MistralAI/status/2019068828257333466#m
→ View original post on X — @guillaumelample, 2026-02-04 17:51 UTC
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Mini Transcribe 2 via API at $0.003/min.
Realtime via API at $0.006/min, plus open weights. Blogpost: https://
mistral.ai/news/voxtral-t
ranscribe-2
… HuggingFace (weights + realtime demo): https://
huggingface.co/mistralai/Voxt
ral-Mini-4B-Realtime-2602
… Get started: http://
console.mistral.ai/build/audio/sp
eech-to-text
…
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Congrats to the @MistralAI audio team for their amazing work!
Much more coming soon, stay tuned!
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Voxtral Mini Transcribe 2 handles batch transcription with the best price-performance of any transcription API: 4% WER on FLEURS at $0.003/min. Includes speaker diarization, context biasing, and word-level timestamps across 13 languages.
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Voxtral Realtime is built for voice agents and live applications. Its natively streaming architecture delivers latency configurable to sub-200ms. And at 480ms, it stays within 1-2% WER of our offline model. We release the model as open weights under Apache 2.0.
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Very excited to release Voxtral 2! Voxtral 2 comes with two powerful new models: Voxtral Realtime: a SOTA real-time transcription model released under an Apache 2 license, with latency configurable to sub-200 ms Voxtral Mini Transcribe 2: a SOTA transcription model with