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Mistral Small 3.1 24B Base 2503 by mistralai

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Mistral Small 3.1 24B Base 2503 is an open-source language model by mistralai. Features: 24b LLM, VRAM: 48.2GB, Context: 128K, License: MNPL-0.1, LLM Explorer Score: 0.23.

  Ar   Bn   De   En   Es   Fa   Fr   Hi   Id   It   Ja   Ko   Mistral-common   Mistral3   Ms   Ne   Pl   Pt   Region:us   Ro   Ru   Safetensors   Sharded   Sr   Sv   Tensorflow   Tr   Uk   Vi   Vllm   Zh
Model Card on HF 🤗: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Base-2503 

Mistral Small 3.1 24B Base 2503 Benchmarks

LLME Score: 0.22595
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Small 3.1 24B Base 2503 (mistralai/Mistral-Small-3.1-24B-Base-2503)
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Mistral Small 3.1 24B Base 2503 Parameters and Internals

LLM NameMistral Small 3.1 24B Base 2503
Repository 🤗https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Base-2503 
Model Size24b
Required VRAM48.2 GB
Updated2026-06-06
Maintainermistralai
Model Files  48.0 GB   4.9 GB: 1-of-10   4.8 GB: 2-of-10   4.9 GB: 3-of-10   4.8 GB: 4-of-10   4.8 GB: 5-of-10   4.9 GB: 6-of-10   4.8 GB: 7-of-10   4.8 GB: 8-of-10   4.9 GB: 9-of-10   4.6 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
Context Length131072
Model Max Length131072
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072

Best Alternatives to Mistral Small 3.1 24B Base 2503

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Context / RAM
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...tral Small 2 24B Instruct 2512384K / 51.6 GB240440618
...al Small 3.2 24B Instruct 2506128K / 48.2 GB633788597
Magistral Small 2509128K / 48.2 GB19439302
Devstral Small 2505128K / 47.3 GB4447870
Devstral Small 2507128K / 47.3 GB9537366
...4B Magistral PaperWitch Heresy128K / 48.2 GB141
Magistral 2509 24B Text Only128K / 47.3 GB8716
Magistral Small 2509128K / 48.2 GB4210
Magistral Small 250640K / 47.3 GB18540609
Magistral Small 250740K / 47.3 GB683104
Note: green Score (e.g. "73.2") means that the model is better than mistralai/Mistral-Small-3.1-24B-Base-2503.

Rank the Mistral Small 3.1 24B Base 2503 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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