What are the hardware requirements for Qwen3.5 35B A3B?

Qwen3.5 35B A3B requires approximately 72.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 35B A3B and how large is it?

Qwen3.5 35B A3B is developed by unsloth, a model with 35b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Qwen3.5 35B A3B perform on standard benchmarks?

Qwen3.5 35B A3B has the following published scores: LMSYS ELO 1395. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen3.5 35B A3B by unsloth — VRAM 72.3GB

Name: Qwen3.5 35B A3B
Author: unsloth

Qwen3.5 35B A3B is an open-source language model by unsloth. Features: 35b LLM, VRAM: 72.3GB, License: apache-2.0, LLM Explorer Score: 0.4, ELO: 1395.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-35b-a3... Conversational Endpoints compatible Image-text-to-text Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3.5-35B-A3B

Qwen3.5 35B A3B Benchmarks

LMSys ELO 1395 vs 1272 (so35) 9.7%

^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)

Qwen3.5 35B A3B Parameters and Internals

LLM Name	Qwen3.5 35B A3B
Repository 🤗	https://huggingface.co/unsloth/Qwen3.5-35B-A3B
Base Model(s)	Qwen/Qwen3.5-35B-A3B Qwen/Qwen3.5-35B-A3B
Model Size	35b
Required VRAM	72.3 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen3_5_moe
Model Files	5.4 GB: 1-of-14 5.4 GB: 2-of-14 5.4 GB: 3-of-14 5.4 GB: 4-of-14 5.4 GB: 5-of-14 5.4 GB: 6-of-14 5.4 GB: 7-of-14 5.4 GB: 8-of-14 5.3 GB: 9-of-14 5.4 GB: 10-of-14 5.4 GB: 11-of-14 5.4 GB: 12-of-14 5.4 GB: 13-of-14 2.2 GB: 14-of-14
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Errors	replace

Rank the Qwen3.5 35B A3B 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 Qwen3.5 35B A3B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
Ornith 1.0 35B	0K / 70.4 GB	3141991	495
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
KAT Coder V2.5 Dev	0K / 69.7 GB	17885	537
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen3.6 35B A3B NVFP4 Fast	0K / 23.6 GB	463661	98
XYZ Aquila Mini	0K / 70.2 GB	1760	432
Ornith 1.0 35B FP8	0K / 37.4 GB	852240	81

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3.5-35B-A3B.