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Magistral-Small-2506

Reasoning model

Magistral-Small-2506

Release date: 2025-06-10Updated: 2025-06-10 23:26:25805
Parameters
24B
Context length
128K
Chinese support
Supported
Reasoning ability

Magistral-Small-2506 is an AI model published by MistralAI, released on 2025-06-10, for Reasoning model, with 24B parameters, and 128K context length, with a 70.68 score on AIME 2024.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Magistral-Small-2506

Model basics

Reasoning traces
Supported
Thinking modes
Thinking modes not supported
Context length
128K tokens
Max output length
64K tokens
Model type
Reasoning model
Modality (in / out)
Text → Text
Release date
2025-06-10
Model file size
No data
MoE architecture
No
Total params / Active params
24B / N/A
Knowledge cutoff
No data
Magistral-Small-2506

Open source & experience

Code license
Weights license
Apache 2.0- Commercial use permitted
GitHub repo
GitHub link unavailable
Magistral-Small-2506

Official resources

Paper
DataLearnerAI blog
No blog post yet
Magistral-Small-2506

API details

API speed
4/5
No public API pricing yet.
Magistral-Small-2506

Benchmark Results

Magistral-Small-2506 currently shows benchmark results led by AIME 2024 (38 / 62, score 70.68), LiveCodeBench (81 / 123, score 55.84), GPQA Diamond (127 / 187, score 68.18). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
68.18
127 / 187

Math and Reasoning

2 evaluations
Benchmark / mode
Score
Rank/total
70.68
38 / 62
62.76
80 / 107

Coding and Software Engineer

1 evaluations
Benchmark / mode
Score
Rank/total
55.84
81 / 123

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Magistral-Small-2506

Publisher

Magistral-Small-2506

Model Overview

Magistral-Small-2506 is an AI model published by MistralAI, released on 2025-06-10, for Reasoning model, with 24B parameters, and 128K context length, with a 70.68 score on AIME 2024.

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