
Mistral AI
High-performance open-weight language models
From the Mistral AI blog
Published by Mistral AI, not by us. Every card opens the original post.
Hallo, Deutschland!
Mistral opens a Munich hub for Physics AI and Industrial AI research, partnering with German industry.
Mistral and Mozilla are bringing open, private and multilingual AI to your web browser
Open, private and multilingual AI is coming to your web browser. Mistral and Mozilla team up to put powerful, trustworthy AI where you already browse.
Cloudera and Mistral Partner to Bring Specialized, Sovereign Intelligence to Enterprise Data
Cloudera and Mistral join forces to bring specialized, sovereign AI intelligence to enterprise data, helping regulated industries innovate on their own terms.
Modernizing complex legacy code with AI agents.
Mistral helped a European energy operator migrate 40,000 lines of Fortran 77 to C++. Learn how it was done, and the lessons to carry forward.
Mistral raises €3B to make sovereign, open-weight AI the technology frontier
Mistral today announced that it has raised €3 billion in a Series D funding round at a post-money valuation of more than €21 billion.
Mistral x HUMAIN
Agentic Search. More accurate and efficient results from your AI systems.
The retrieval layer that helps AI systems navigate, read, and verify information inside even the most complex documents
In-region inference, open models, and new European infrastructure for sovereign AI.
Mistral is bringing together the inference infrastructure, open models, and long-term commitments Europe needs to control its AI future, and setting a roadmap for the world.
Introducing Shieldstral.
Shieldstral introduces a 3B open-weights multimodal safety classifier that outperforms models up to 7x its size.
Your Prompts and Skills need a system of record.
Studio provides a system of record for AI prompts and skills—versioned, owned, and traceable. Iterate fast, ship with control, and ensure consistent AI behavior.
Introducing Robostral Navigate
Introducing Robostral Navigate: 8B model achieving 76.6% on R2R-CE with just a single RGB camera. No depth sensors, LiDAR, or multiple cameras needed.