LLM Reference

Magistral Models by MistralAI

MistralAIApache 2.0Open source
2 models2025Up to 128k ctxFrom $0.5/1M input

Details

ResearcherMistralAI
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models2
Released2025
Max context128k

Capabilities

Reasoning1 of 2 models

About

Magistral is a family of 2 AI models by MistralAI, released in 2025.

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

2 in view

Use when the workload needs 24B parameters.

2025-0924B parameters

Use when the workload needs reasoning, 128k context, and 24B parameters.

2025-06reasoning128k context24B parameters

Release Timeline

2 release groups
2025-09
1 current
Current
2025-06
1 current
Magistral Small 2506
reasoning128k context24B parameters
Current

Specifications(2 models)

Magistral model specifications comparison
ModelReleasedContextParametersReasoning
Mistral Magistral Small 25092025-0924BNo
Magistral Small 25062025-06128k24BYes

Available From(3 providers)

Pricing

Magistral model pricing by provider
ModelProviderInput / 1MOutput / 1MType
Mistral Magistral Small 2509AWS Bedrock$0.5$1.5Serverless
Mistral Magistral Small 2509Vercel AI Gateway$0.5$1.5Serverless

Popular comparisons in this family

Frequently Asked Questions

What is Magistral used for?
Magistral is used for reasoning. The family description and listed model capabilities point to those workloads as the best fit.
How does Magistral compare to Ministral?
Magistral by MistralAI is strongest where you need reasoning, while Ministral by MistralAI is the closest related family to check for vision and multimodal work. Magistral has 2 listed variants and reaches up to 128k context, while Ministral reaches up to 32k context, so compare the specs and pricing tables before choosing a production model.
Which Magistral model should I use?
For the lowest listed input price, start with Mistral Magistral Small 2509 through AWS Bedrock at $0.5/1M input tokens. For the most capable/latest local choice, evaluate Magistral Small 2506 with 128k context and reasoning.