AI startup Mistral AI has announced Magistral, a reasoning model geared to domain-specific, transparent, and multilingual reasoning.
Announced June 10, Magistral is designed for research, strategic planning, operational optimization, and data-driven decision making, whether executing risk assessment and modeling with multiple factors, or calculating optimal delivery windows under constraints, Magistral AI said. Combining expertise across professional domains, transparent reasoning that can be followed and verified, and deep multilingual flexibility, Magistral is suited for enterprise use cases ranging from structured calculations and programmatic logic to decision trees and rule-based systems, according to the company.
Magistral is fine-tuned for multi-step logic, improving interpretability, and providing a traceable thought process in the user’s language, unlike general-purpose models, Mistral AI said. The company said the model excels in maintaining high-fidelity reasoning across numerous languages, and is particularly well-suited to reason in languages including English, French, Spanish, German, Italian, Arabic, Russian, and Simplified Chinese. It also enhances coding and development use cases, significantly improving project planning, back-end architecture, front-end design, and data engineering compared to non-reasoning models, according to the company.
Mistral is releasing Magistral in two variants. Magistral Small is a 24B parameter open-source version, downloadable from Hugging Face. Magistral Medium is a more powerful enterprise version, being previewed at Le Chat or via API on La Plateforme. Magistral Medium also is available on Amazon SageMaker. Alongside the Magistral release, Mistral has published a research paper covering its evaluations of Magistral, training infrastructure, reinforcement learning algorithm, and thoughts on training reasoning models.