Marie Pellat

AI Scientist, @MistralAI - previously @Google | @Stanford | @Polytechnique

[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 🧵

[Nathan Lambert @natolambert]

Mistral is back to their roots
All apache 2.0
Strong models, multimodal, multiple types, and MORE BASE MODELS

Huge W, smart by them to capitalize on the power vacuum of companies looking for alternates to Chinese models.

So happy Chinese companies are pushing change globally.

[Marie Pellat @m_pellat]

@nsthorat @dsmilkov @AnthropicAI Seems like a match made in heaven ! Congrats to you both

[Marie Pellat @m_pellat]

@sarahookr Congrats 💫💫

[Mistral AI @MistralAI]

We’ve raised €1.7B to accelerate technological progress with AI!

This Series C funding round, led by @ASMLcompany, fuels Mistral AI scientific research to keep pushing the frontier of AI to tackle the most critical technological challenges faced by strategic industries.

[Marie Pellat @m_pellat]

A win for open science today - 🚢🚢

[Mistral AI @MistralAI]

Announcing Magistral, our first reasoning model designed to excel in domain-specific, transparent, and multilingual reasoning.

[Marie Pellat @m_pellat]

@spolu Thanks for sharing your thoughts on this, I agree on questioning the motives here. I also liked this essay that touches on the same debate and on the reality of technology taking decades to truly permeate across industries https://t.co/iXMo0cpoT3

[Arthur Mensch @arthurmensch]

We shipped higher level apis for agent orchestration - MCP compatible, all server-side logic deployable privately.

[Guillaume Lample @ NeurIPS 2024 @GuillaumeLample]

Very happy to release Codestral Embed, our first code embedder. It can use up to 3072 dimensions, ordered by relevance. Using embeddings of 256 dimensions with int8 precision is already sufficient to outperform all existing models.

[Marie Pellat @m_pellat]

Always be shipping 🚢 meet the latest edition to our model family Devstral - the best open coding agents model out there. Excited to see what gets built on top of this one !

[Mistral AI @MistralAI]

Meet Devstral, our SOTA open model designed specifically for coding agents and developed with @allhands_ai

https://t.co/LwDJ04zapf

[Mistral AI @MistralAI]

Meet Devstral, our SOTA open model designed specifically for coding agents and developed with @allhands_ai

https://t.co/LwDJ04zapf

[Mistral AI @MistralAI]

Introducing Mistral Medium 3: our new multimodal model offering SOTA performance at 8X lower cost.

- A new class of models that balances performance, cost, and deployability.
- High performance in coding and function-calling.
- Full enterprise capabilities, including hybrid or on-premises/in-VPC deployment, custom post-training, and seamless integration into enterprise tools and systems.

Check out our blog to learn more:

[Sara Hooker @sarahookr]

Very proud of this cross-institutional collaboration between @Cohere_Labs @stanfordnlp , @MistralAI , @AdaLovelaceInst , @Cambridge_Uni, @Princeton

Now accepted to FAccT 2025 🔥

"Is the spotlight on AI amplifying biorisk supported by scientific evidence?

[Sophia Yang, Ph.D. @sophiamyang]

#1 productivity app in France 🚀

Download @MistralAI Le Chat app and give it a try!

[Mistral AI @MistralAI]

Le Chat is fast (1,100 tok/s for flash queries on an updated Mistral Large). Download it at https://t.co/KMxQuSsaSH or https://t.co/hprV5sXAYo

[Val @onetwoval]

No this video is not sped up, genuinely mind blowing

And yes this is available to all users right now.

[Mistral AI @MistralAI]

Introducing the all new Le Chat: your ultimate AI sidekick for life and work! Now live on web and mobile!

[Marie Pellat @m_pellat]

⚡️⚡️⚡️Le Chat grows up - check it out ⚡️⚡️⚡️

https://t.co/MlI8GCHEUi

also if you want speed, we got you

https://t.co/z5PMEtF8Ow

[Mistral AI @MistralAI]

Introducing Small 3, our most efficient and versatile model yet! Pre-trained and instructed version, Apache 2.0, 24B, 81% MMLU, 150 tok/s. No synthetic data so great base for anything reasoning - happy building!

https://t.co/8WfgzuuwRk

[Baptiste Rozière @b_roziere]

The new codestral is tied #1 on the copilot arena! The other models tied for #1 are DeepSeek 2.5 (236B total params, 21B active) and Claude 3.5 Sonnet. They are both much larger than Codestral 25.01.