Magistral, developed by Mistral AI, is a cutting-edge reasoning model designed for domain-specific, transparent, and multilingual reasoning. It is available in two versions: Magistral Small, an open-source model with 24 billion parameters, and Magistral Medium, a more powerful enterprise-grade version. The model excels in structured calculations, programmatic logic, decision trees, and rule-based systems, making it suitable for diverse applications such as legal research, financial forecasting, software development, and creative storytelling.
Magistral is purpose-built for transparent, multi-step reasoning, offering traceable thought processes tailored to the user's language. It supports high-fidelity reasoning across multiple languages, including English, French, Spanish, German, Italian, Arabic, Russian, and Simplified Chinese. This multilingual dexterity ensures consistent and reliable performance in global contexts. With the introduction of Flash Answers in Le Chat, Magistral Medium achieves token throughput speeds up to 10 times faster than many competitors, enabling real-time reasoning and feedback at scale.
The model is particularly suited for regulated industries like legal, finance, healthcare, and government, where traceable and auditable reasoning is crucial for compliance. It also enhances systems, software, and data engineering tasks by improving project planning, backend architecture, frontend design, and multi-step actions involving external tools or APIs. Magistral's versatility extends to business strategy, operational optimization, and creative content generation, making it a valuable tool across professional domains.
Magistral Small is open-source and available for self-deployment under the Apache 2.0 license, while Magistral Medium can be accessed via Le Chat, API, or platforms like Amazon SageMaker, with upcoming availability on IBM WatsonX, Azure AI, and Google Cloud Marketplace. Mistral AI encourages community collaboration to further refine and expand Magistral's capabilities, underscoring its commitment to democratizing artificial intelligence.
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