VP Science @mistralai. Ex RS @metaAI | PhD @ENSdeLyon | MVA @ENS_ParisSaclay
Paris, France
Joined July 2010
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Pierre Stock retweeted
🎙️ Introducing Voxtral 3 !
A new family of SOTA speech models:
ASR: Mini & Small for batch transcription, plus real-time streaming
TTS: expressive, multilingual speech, batch + streaming
Voice agent SDK: low-latency conversations + tool calling
Available via API or on your own infrastructure !
Pierre Stock retweeted
We've just released a comprehensive suite of state-of-the-art voice models mistral.ai/news/voxtral-3/. Voice will be the most important interface to AI systems, and we deploy voice models physically close to reasoning models
Pierre Stock retweeted
Introducing Voxtral 3: state-of-the-art Transcribe and Speech models powering Mistral’s new voice agents API. 🧵
Pierre Stock retweeted
For their Mistral Large 4 release, @MistralAI ran a blind Surge human eval, with our expert software engineers evaluating five frontier models on coding quality.
Le Chonk ranked #1 among open-weight models and #2 overall, behind only Opus 5.
Unit tests ask: does it work?
Human code review asks: would you merge it?
Our evals measures the difference. Working code is the floor; professional taste and judgment are what make it shippable.
Congrats to the Mistral team on le Chonk and their big release 🇫🇷
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
Pierre Stock retweeted
We’re building AGI from this train station
ML4 was trained on 3,800 NVIDIA Grace Blackwell GPUs in our European datacenters -- our cluster in Bruyères-le-Châtel built using our Series B fundraise.
We are investing heavily in infrastructure, with our Series C and D clusters coming online soon. This additional compute will let us train longer, pursue more ambitious post-training, and iterate faster.
We expect large and rapid improvements in the weeks and months ahead.
2/n
Pierre Stock retweeted
ML4 was trained on 3,800 NVIDIA Grace Blackwell GPUs in our European datacenters -- our cluster in Bruyères-le-Châtel built using our Series B fundraise.
We are investing heavily in infrastructure, with our Series C and D clusters coming online soon. This additional compute will let us train longer, pursue more ambitious post-training, and iterate faster.
We expect large and rapid improvements in the weeks and months ahead.
2/n
Pierre Stock retweeted
Some things to say about this model:
1. It's a good model in the actual usage sense. I've understood so much about Lacan and Merleau-Ponty in the last two days
2. I spent a non-trivial amount of time to make it good, and then to make it servable
3. We had a tattoo bet about its DeepSWE performance being over 60 (a capability I am responsible for) so I welcome tattoo parlour recommendations to send my colleagues to
4. I marvelled at how good some of my colleagues are at neural surgery under stress
5. An even chonkier boi is munching on trillions of tokens at this very moment
mistral.ai/news/mistral-larg…
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
Pierre Stock retweeted
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
🤖 Made with AI
Pierre Stock retweeted
Today, we are launching a preview of our new model, Mistral Large 4 (ML4), aka le Chonk 🐈.
ML4 is a 1T-parameter model with 49B active parameters, trained natively with multimodal capabilities.
It is at the frontier of open models, and by far the strongest open-weight model from the US or Europe.
The RL run behind this preview is still in flight and shows no sign of saturation -- we will release a final version before the end of the month along with the weights of the model.
🧵
1/n
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
Pierre Stock retweeted
Today, we are announcing a partnership with @mozilla to bring privacy, control and choice to people using AI to browse online. 🦊🐈
mistral.ai/news/mistral-x-mo…
Pierre Stock retweeted
We have just raised 3B€ to accelerate our R&D. We are scaling up our training and inference compute to build future generations of our models, and expanding our Science team across all our offices -- Paris, Palo Alto, SF, London, Zurich, and Warsaw. Join us !
Pierre Stock retweeted
The performance gap between proprietary and open source models has reached its narrowest point yet.
In Code Arena: WebDev, the frontier gap between proprietary and open has compressed from ~150 pts since late 2025, to just ~10 pts today.
Muse Spark 1.2 is expected to release their weights. Stay tuned to see how that and other open models like Glimmer impact the frontier. Official scores coming soon.
Very excited to release Voxtral 2!
- Voxtral Realtime: a SOTA real-time transcription model under an Apache 2 license, with latency configurable to sub-200 ms
- Voxtral Mini Transcribe 2: a SOTA transcription model with diarization, word-level timestamps, and context biasing
