Magistral Small 2506 by mistralai

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Magistral Small 2506 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magistral Small 2506 (mistralai/Magistral-Small-2506)
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Magistral Small 2506 Parameters and Internals

LLM NameMagistral Small 2506
Repository ๐Ÿค—https://huggingface.co/mistralai/Magistral-Small-2506 
Base Model(s)  mistralai/Mistral-Small-3.1-24B-Instruct-2503   mistralai/Mistral-Small-3.1-24B-Instruct-2503
Model Size24b
Required VRAM47.3 GB
Updated2025-06-14
Maintainermistralai
Instruction-BasedYes
Model Files  47.1 GB   4.8 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.9 GB: 10-of-10
Supported Languagesen fr de es pt it ja ko ru zh ar fa id ms ne pl ro sr sv tr uk vi hi bn
Model ArchitectureMambaSSM
LicenseMNPL-0.1
Vocabulary Size131072

Best Alternatives to Magistral Small 2506

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...al Small 3.1 24B Instruct 25030K / 48.2 GB1197281271
Note: green Score (e.g. "73.2") means that the model is better than mistralai/Magistral-Small-2506.

Rank the Magistral Small 2506 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124