Magistral
Mistral's first reasoning model — 73.6% AIME2024, native multilingual chain-of-thought, 10x faster via Le Chat
0About 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.
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Key Features
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?
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