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Magistral

Mistral's first reasoning model — 73.6% AIME2024, native multilingual chain-of-thought, 10x faster via Le Chat

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freemiumDR 86Magistral Small is free to download and self-host under Apache 2.0 (Hugging Face: mistralai/Magistral-Small-2506). Magistral Medium is available via Mistral La Plateforme API (pay-per-token) and in Le Chat (free tier + Pro). Also available on Amazon SageMaker; IBM WatsonX, Azure AI, and Google Cloud Marketplace access coming soon.View full pricing →

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About Magistral

Mistral AI's first reasoning model, released June 10, 2025. Available in two variants: Magistral Small (24B parameters, Apache 2.0 open-source) and Magistral Medium (enterprise, closed). Magistral Medium scores 73.6% on AIME2024 (90% with majority voting @64); Magistral Small scores 70.7% (83.3% @64). Features transparent chain-of-thought reasoning that works natively across 8+ languages including English, French, Spanish, German, Italian, Arabic, Russian, and Simplified Chinese. Flash Answers in Le Chat delivers up to 10x faster token throughput than most competitors. Designed for domain-specific reasoning in legal, finance, healthcare, coding, and creative tasks.

Key Features

✓Magistral Medium: 73.6% on AIME2024, 90% with majority voting @64
✓Magistral Small: 70.7% on AIME2024, 83.3% with majority voting @64 — all at 24B open-weight scale
✓Native multilingual chain-of-thought across EN, FR, ES, DE, IT, AR, RU, and Simplified Chinese
✓Flash Answers mode in Le Chat: up to 10x faster throughput than most competitors for real-time reasoning
✓Think mode in Le Chat for extended step-by-step reasoning on complex problems
✓Traceable reasoning — every conclusion has visible logical steps; auditable for compliance
✓Magistral Small under Apache 2.0 — commercial use, fine-tuning, and redistribution without restrictions
✓Available on Hugging Face for self-deployment: mistralai/Magistral-Small-2506
✓Magistral Medium on Amazon SageMaker for enterprise-grade deployment
✓Designed for regulated industries: legal, finance, healthcare, government — with auditability built in

Magistral Pros & Cons

✅ Pros

  • +Magistral Small at 24B is the best open-source reasoning model at its parameter count at launch — beats most closed models on AIME2024
  • +True Apache 2.0 license on Small means zero commercial restrictions — fine-tune, redistribute, deploy on-prem freely
  • +Native multilingual chain-of-thought is unique: reasoning in Arabic, Russian, or Chinese without accuracy degradation
  • +Flash Answers in Le Chat gives 10x throughput advantage — practical for real-time reasoning pipelines
  • +Transparent, traceable reasoning steps make it compliant with auditability requirements in legal/finance

⚠️ Cons

  • −Magistral Medium's pricing and weights are not public — requires Mistral API access or enterprise deal
  • −At launch, Medium was in Preview only; production stability and SLA commitments were limited
  • −Magistral Small (24B) requires significant GPU memory for self-hosting — not consumer hardware friendly
  • −AIME benchmarks are math-focused; domain-specific professional tasks may show different relative performance

Who Is Magistral Best For?

👤Researchers and developers needing an open-source reasoning model they can fine-tune on domain data
👤Legal, finance, and healthcare teams who need transparent, auditable AI reasoning for compliance
👤Teams building multilingual reasoning pipelines — especially for Arabic, Russian, or CJK languages
👤Enterprises evaluating Magistral Medium for complex multi-step analysis before committing to a larger deployment

Tags

mistralreasoning modelchain-of-thoughtopen sourceapache 2.0multilingualmath reasoningllmapienterpriseaimethinking model
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