What are the hardware requirements for Qwen3 32B?

Qwen3 32B requires approximately 65.8 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 32B and how large is it?

Qwen3 32B is developed by unsloth, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Qwen3 32B perform on standard benchmarks?

Qwen3 32B has the following published scores: LMSYS ELO 1347. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen3 32B by unsloth — VRAM 65.8GB, 40K context

Name: Qwen3 32B
Author: unsloth

Qwen3 32B is an open-source language model by unsloth. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, LLM Explorer Score: 0.35, ELO: 1347.

Arxiv:2309.00071 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-32b Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-32B

Qwen3 32B Benchmarks

LMSys ELO 1347 vs 1272 (so35) 5.9%

^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)

Qwen3 32B Parameters and Internals

LLM Name	Qwen3 32B
Repository 🤗	https://huggingface.co/unsloth/Qwen3-32B
Base Model(s)	Qwen3 32B Qwen/Qwen3-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-06-29
Maintainer	unsloth
Model Type	qwen3
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 32B 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

Best Alternatives to Qwen3 32B

Best Alternatives	Context / RAM	Downloads	Likes
...ll Qwen3 32B Preview7 QAT 200K	195K / 65.8 GB	10	3
...ll Qwen3 32B Preview6 QAT 200K	195K / 65.8 GB	6	2
...ll Qwen3 32B Preview4 QAT 200K	195K / 65.8 GB	13	2
Qwen3 32B AWorld	128K / 65.8 GB	37	15
Qwen3 32B	40K / 65.6 GB	6155624	715
OpenThinkerAgent 32B	40K / 65.8 GB	9022	9
Awakening Goedel V2 32B Sft	40K / 65.8 GB	569	0
Awakening Goedel V2 32B Rl	40K / 65.8 GB	565	0
Qwen3 Swallow 32B SFT V0.2	40K / 65.6 GB	24411	0
Qwen3 Swallow 32B RL V0.2	40K / 65.1 GB	10347	3