Specialized small models are their strategy.Mistral showed several examples where small, fast and focused models outperform the big general-purpose ones when it comes to energy efficiency and speed: Document AI for OCR (used by the EU Patent Office to do large scale OCR), Voxtral for multilingual voice (powering Amazon’s Alexa+ in Europe), and Robostral for industrial robotics with ASML. And also in token-heavy agentic applications, speed and efficiency are becoming as important as raw capability.
Sovereignty and on-prem are their selling points. BNP Paribas runs Mistral models on-prem for KYC in Belgium, with sensitive data staying within the bank’s walls. Abanca is using agent orchestration to handle sensitive customer information at a huge scale (more than 1 million customers in their app). For European companies in regulated industries, this is a good alternative to relying on US hyperscalers.
A talk that was a bit out of the ordinary and that I really enjoyed was about ancient papyrus documents: a research team from the Austrian Academy of Sciences finetuned a coding LLM by Mistral (Codestral) to read tiny snippets of millennia-old discarded papyri that had sat unpublished for decades. This work helps make a collection of 180,000 documents found in the Egyptian desert accessible, a job that would have taken more than 2000 years without AI. A beautiful exampleof how AI can also help the humanities.