Health at @GoogleDeepMind | previously @MistralAI
Paris, France
Joined February 2015
- Tweets62
- Following564
- Followers1.3K
- Likes352
Marie Pellat 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
Marie Pellat retweeted
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 🧵
Marie Pellat retweeted
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 retweeted
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 retweeted
We shipped higher level apis for agent orchestration - MCP compatible, all server-side logic deployable privately.
Introducing Agents API: your go-to tool for building tailored agents to solve complex real-world problems!
mistral.ai/news/agents-api
Marie Pellat retweeted
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.
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 !
Meet Devstral, our SOTA open model designed specifically for coding agents and developed with @allhands_ai
mistral.ai/news/devstral
Marie Pellat retweeted
Meet Devstral, our SOTA open model designed specifically for coding agents and developed with @allhands_ai
mistral.ai/news/devstral
Marie Pellat retweeted
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:
Marie Pellat retweeted
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?
Marie Pellat retweeted
#1 productivity app in France 🚀
Download @MistralAI Le Chat app and give it a try!
Marie Pellat retweeted
Le Chat is fast (1,100 tok/s for flash queries on an updated Mistral Large). Download it at mistral.ai/app/android or mistral.ai/app/ios
Marie Pellat retweeted
Introducing the all new Le Chat: your ultimate AI sidekick for life and work! Now live on web and mobile!
⚡️⚡️⚡️Le Chat grows up - check it out ⚡️⚡️⚡️
mistral.ai/en/news/all-new-l…
also if you want speed, we got you
youtu.be/_JS-LkBrsk8?si=QvSl…
Marie Pellat retweeted
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!
mistral.ai/news/mistral-smal…
Marie Pellat retweeted
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.
Exciting news from @CopilotArena!
The latest Codestral 25.01 release is now topping the Copilot Arena leaderboard (joint #1, +12 points over previous Codestral!). Congrats to @MistralAI🎆
Try out the new model today in the @CopilotArena VSCode extension.
🌟Come work with us on Safety at @MistralAI . Be part of a small ambitious team where there is lots to build and lots to ship!🌟 jobs.lever.co/mistral/b13733…
Always be shippin’ - congrats team!
Moderation API - mistral.ai/news/mistral-mode…
Batch API - mistral.ai/news/batch-api/
