What are the hardware requirements for Mistral Small 3.2 24B Instruct 2506?

Mistral Small 3.2 24B Instruct 2506 requires approximately 48.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Small 3.2 24B Instruct 2506 and how large is it?

Mistral Small 3.2 24B Instruct 2506 is developed by mistralai, a model with 24b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mistral Small 3.2 24B Instruct 2506 perform on standard benchmarks?

Mistral Small 3.2 24B Instruct 2506 has the following published scores: LMSYS ELO 1335. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral Small 3.2 24B Instruct 2506 by mistralai — VRAM 48.2GB, 128K context

Name: Mistral Small 3.2 24B Instruct 2506
Author: mistralai

Mistral Small 3.2 24B Instruct 2506 is an open-source language model by mistralai. Features: 24b LLM, VRAM: 48.2GB, Context: 128K, License: MNPL-0.1, Instruction-Based, LLM Explorer Score: 0.44, ELO: 1335.

Ar Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Bn De Deploy:sagemaker En Es Fa Fr Hi Id Instruct 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-3.2-24B-Instruct-2506

Mistral Small 3.2 24B Instruct 2506 Benchmarks

LMSys ELO 1335 vs 1272 (so35) 5%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Mistral Small 3.2 24B Instruct 2506 Parameters and Internals

LLM Name	Mistral Small 3.2 24B Instruct 2506
Repository 🤗	https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506
Base Model(s)	mistralai/Mistral-Small-3.1-24B-Base-2503 mistralai/Mistral-Small-3.1-24B-Base-2503
Model Size	24b
Required VRAM	48.2 GB
Updated	2026-08-08
Maintainer	mistralai
Instruction-Based	Yes
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 Languages	en fr de es pt it ja ko ru zh ar fa id ms ne pl ro sr sv tr uk vi hi bn
Model Architecture	MambaSSM
License	MNPL-0.1
Context Length	131072
Model Max Length	131072
Vocabulary Size	131072

Rank the Mistral Small 3.2 24B Instruct 2506 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the Mistral Small 3.2 24B Instruct 2506

Model	Likes	Downloads	VRAM
...3.2 24B Instruct 2506 Bnb 4bit	10	7430	14 GB
...nstruct 2506 Text Only Heretic	1	156	47 GB
...Instruct 2506 Unsloth Bnb 4bit	13	2107	14 GB
...all 3.2 24B Instruct 2506 8bit	4	320	25 GB

Best Alternatives to Mistral Small 3.2 24B Instruct 2506

Best Alternatives	Context / RAM	Downloads	Likes
...tral Small 2 24B Instruct 2512	384K / 51.6 GB	240440	618
...Small 2 24B Instruct 2512 Bf16	384K / 47.8 GB	367	4
Devstral Small 2507	128K / 47.3 GB	116445	368
Magistral Small 2509	128K / 48.2 GB	33508	305
Devstral Small 2505	128K / 47.3 GB	4960	867
...mall 3.2 24B Instruct 2506 FP8	128K / 25.8 GB	81	6
Magistral Small 2506	40K / 47.3 GB	18796	609
Magistral Small 2507	40K / 47.3 GB	632	104
...al Small 3.1 24B Instruct 2503	0K / 48.2 GB	298064	1378
...istral Small 24B Instruct 2501	0K / 47.3 GB	85437	962