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Qwen3-235B-A22B-Instruct-2507 vs QwQ-32B
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 42.7% higher average benchmark score. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
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Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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Qwen3-235B-A22B-Instruct-2507
Average Score:60.1%(+42.7%)
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QwQ-32B
Average Score:17.4%
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Qwen3-235B-A22B-Instruct-2507
1 providers
Novita
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QwQ-32B
0 providers
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Qwen3-235B-A22B-Instruct-2507
Avg Score:60.1%(+42.7%)
Providers:1
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QwQ-32B
Avg Score:17.4%
Providers:0