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Qwen3 235B A22B Thinking 2507 by Qwen

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Qwen3 235B A22B Thinking 2507 is an open-source language model by Qwen. Features: 235b LLM, VRAM: 171.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.32.

  Arxiv:2402.17463   Arxiv:2404.06654   Arxiv:2407.02490   Arxiv:2501.15383   Arxiv:2505.09388   Conversational   Deploy:azure   Endpoints compatible   Eval-results   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507 

Qwen3 235B A22B Thinking 2507 Benchmarks

LLME Score: 0.32282
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 235B A22B Thinking 2507 (Qwen/Qwen3-235B-A22B-Thinking-2507)
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Qwen3 235B A22B Thinking 2507 Parameters and Internals

LLM NameQwen3 235B A22B Thinking 2507
Repository 🤗https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507 
Model Size235b
Required VRAM171.9 GB
Updated2026-04-13
MaintainerQwen
Model Typeqwen3_moe
Model Files  4.0 GB: 1-of-118   4.0 GB: 2-of-118   4.0 GB: 3-of-118   4.0 GB: 4-of-118   4.0 GB: 5-of-118   4.0 GB: 6-of-118   4.0 GB: 7-of-118   4.0 GB: 8-of-118   4.0 GB: 9-of-118   4.0 GB: 10-of-118   4.0 GB: 11-of-118   4.0 GB: 12-of-118   4.0 GB: 13-of-118   4.0 GB: 14-of-118   4.0 GB: 15-of-118   4.0 GB: 16-of-118   4.0 GB: 17-of-118   4.0 GB: 18-of-118   4.0 GB: 19-of-118   4.0 GB: 20-of-118   4.0 GB: 21-of-118   4.0 GB: 22-of-118   4.0 GB: 23-of-118   3.9 GB: 24-of-118   4.0 GB: 25-of-118   4.0 GB: 26-of-118   4.0 GB: 27-of-118   4.0 GB: 28-of-118   4.0 GB: 29-of-118   4.0 GB: 30-of-118   4.0 GB: 31-of-118   4.0 GB: 32-of-118   4.0 GB: 33-of-118   4.0 GB: 34-of-118   4.0 GB: 35-of-118   4.0 GB: 36-of-118   4.0 GB: 37-of-118   4.0 GB: 38-of-118   4.0 GB: 39-of-118   4.0 GB: 40-of-118   4.0 GB: 41-of-118   4.0 GB: 42-of-118   4.0 GB: 43-of-118
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Vocabulary Size151936
Torch Data Typebfloat16

Quantized Models of the Qwen3 235B A22B Thinking 2507

Model
Likes
Downloads
VRAM
...3 235B A22B Thinking 2507 8bit3666227 GB
...5B A22B Thinking 2507 3bit DWQ6229103 GB
...5B A22B Thinking 2507 4bit DWQ479131 GB

Best Alternatives to Qwen3 235B A22B Thinking 2507

Best Alternatives
Context / RAM
Downloads
Likes
...en3 235B A22B Instruct 2507 1M986K / 171.9 GB121
Qwen3 235B A22B Instruct 2507256K / 171.9 GB183785772
Qwen3 235B A22B Instruct 2507256K / 167.9 GB989
Qwen3 235B A22B Thinking 2507256K / 167.9 GB992
MiroThinker 1.7256K / 220 GB1140134
MiroThinker 1.7 Mini256K / 61.1 GB179486
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB239764147
... Nemotron 235B A22B GenRM 2603256K / 195 GB160724
... 235B A22B Instruct 2507 NVFP4256K / 139.2 GB38826
...n3 235B A22B Thinking 2507 FP8256K / 236.5 GB2490083
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-235B-A22B-Thinking-2507.

Rank the Qwen3 235B A22B Thinking 2507 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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