Magistral Small

Name: Magistral Small
Author: Mistral AI

by Mistral AIMistral

Open WeightModel weights are publicly available — can be downloaded and self-hostedAPIAvailable through a hosted API — pay per token, no self-hosting required

Released June 2025128K context≈ 96,000 words24B params

Compact reasoning model with transparent chain-of-thought across multiple languages. Suited for structured calculations, programmatic logic, and rule-based systems.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Traceable chain-of-thought reasoning

Strong

Instruction Following

Magistral Small

by Mistral AIMistral

Open WeightModel weights are publicly available — can be downloaded and self-hostedAPIAvailable through a hosted API — pay per token, no self-hosting required

Released June 2025128K context≈ 96,000 words24B params

Compact reasoning model with transparent chain-of-thought across multiple languages. Suited for structured calculations, programmatic logic, and rule-based systems.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Traceable chain-of-thought reasoning

Strong

Instruction Following

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

Chain-of-ThoughtA reasoning technique where an AI model shows its step-by-step thinking process before arriving at a final answer, making its logic transparent and verifiable.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning ModelA model trained to show explicit step-by-step reasoning and problem-solving logic before producing final answers, rather than jumping directly to conclusions.