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Gemma 2 9B vs QwQ-32B
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 22.3% higher average benchmark score. Overall, Gemma 2 9B is the stronger choice for coding tasks.
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Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google'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.
8 months newer
Gemma 2 9B
2024-06-27
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Average performance across 23 common benchmarks
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Gemma 2 9B
Average Score:45.0%(+22.3%)
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QwQ-32B
Average Score:22.7%
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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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Gemma 2 9B
0 providers
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QwQ-32B
0 providers
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Gemma 2 9B
Avg Score:45.0%(+22.3%)
Providers:0
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QwQ-32B
Avg Score:22.7%
Providers:0