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DeepSeek R1 Zero vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 30.9% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek'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.
1 month newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Average performance across 7 common benchmarks
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DeepSeek R1 Zero
Average Score:43.7%
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QwQ-32B
Average Score:74.6%(+30.9%)
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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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DeepSeek R1 Zero
0 providers
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QwQ-32B
0 providers
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DeepSeek R1 Zero
Avg Score:43.7%
Providers:0
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QwQ-32B
Avg Score:74.6%(+30.9%)
Providers:0