Announcing Magistral — the first reasoning model by Mistral AI — excelling in domain-specific, transparent, and multilingual reasoning. The best human thinking isn’t linear — it weaves through logic, insight, uncertainty, and discovery. Reasoning language models have enabled us to augment and delegate complex thinking and deep understanding to AI, improving our ability to work through problems requiring precise, step-by-step deliberation and analysis. But this space is still nascent. Lack of specialized depth needed for domain-specific problems, limited transparency, and inconsistent reasoning in the desired language — are just some of the known limitations of early thinking models. Today, we’re excited to announce our latest contribution to AI research with Magistral — our first reasoning model. Released in both open and enterprise versions, Magistral is designed to think things through — in ways familiar to us — while bringing expertise across professional domains, transparent reasoning that you can follow and verify, along with deep multilingual flexibility. VIDEO A one-shot physics simulation showcasing gravity, friction and collisions with Magistral Medium in Preview. Highlights. Magistral is a dual-release model focused on real-world reasoning and feedback-driven improvement. We’re releasing the model in two variants: Magistral Small — a 24B parameter open-source version and Magistral Medium — a more powerful, enterprise version. Magistral Medium scored 73.6% on AIME2024, and 90% with majority voting @64. Magistral Small scored 70.7% and 83.3% respectively. Reason natively — Magistral’s chain-of-thought works across global languages and alphabets. Suited for a wide range of enterprise use cases — from structured calculations and programmatic logic to decision trees and rule-based systems. With the new Think mode and Flash Answers in Le Chat, you can get responses at 10x the speed compared to most competitors. The release is supported by our latest paper coveri...
First seen: 2025-06-10 14:23
Last seen: 2025-06-11 21:33