French AI lab Mistral is getting into the reasoning AI model game.
On Tuesday morning, Mistral announced Magistral, its first family of reasoning models. Like other reasoning models — e.g. OpenAI’s o3 and Google’s Gemini 2.5 Pro — Magistral works through problems step-by-step for improved consistency and reliability across topics such as math and physics.
Magistral comes in two flavors: Magistral Small and Magistral Medium. Magistral Small is 24 billion parameters in size, and is available for download from the AI dev platform Hugging Face under a permissive Apache 2.0 license. (Parameters are the internal components of a model that guide its behavior.) Magistral Medium, a more capable model, is in preview on Mistral’s Le Chat chatbot platform and the company’s API, as well as third-party partner clouds.
“[Magistral is] suited for a wide range of enterprise use cases, from structured calculations and programmatic logic to decision trees and rule-based systems,” writes Mistral in the blog post. “[The models are] fine-tuned for multi-step logic, improving interpretability and providing a traceable thought process in the user’s language.”
Founded in 2023, Mistral is a frontier model lab building a range of AI-powered services, including the aforementioned Le Chat and mobile apps. It’s backed by venture investors like General Catalyst, and has raised over €1.1 billion (roughly $1.24 billion) to date.
Despite its formidable resources, Mistral has lagged behind other leading AI labs in certain areas, like developing reasoning models. Magistral doesn’t appear to be an especially competitive release, either, judging by Mistral’s own benchmarks.
On GPQA Diamond and AIME, tests that evaluate a model’s physics, math, and science skills, Magistral Medium underperforms Gemini 2.5 Pro and Anthropic’s Claude Opus 4. Magistral Medium also fails to surpass Gemini 2.5 Pro on a popular programming benchmark, LiveCodeBench.
Perhaps that’s why Mistral touts Magistral’s other strengths in its blog post. Magistral delivers answers at “10x” the speed of competitors in Le Chat, Mistral claims, and supports a wide array of languages, including Italian, Arabic, Russian, and Simplified Chinese.
“Building on our flagship models, Magistral is designed for research, strategic planning, operational optimization, and data-driven decision making,” the company writes in its post, “whether executing risk assessment and modelling with multiple factors, or calculating optimal delivery windows under constraints.”
The release of Magistral comes after Mistral debuted a “vibe coding” client, Mistral Code. A few weeks prior to that, Mistral launched several coding-focused models and rolled out Le Chat Enterprise, a corporate-focused chatbot service that offers tools like an AI agent builder and integrates Mistral’s models with third-party services like Gmail and SharePoint.
