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Kimi-k1.5 vs QwQ-32B
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 16.4% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Kimi-k1.5 is the stronger choice for coding tasks.
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Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI'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
Kimi-k1.5
Moonshot AI
2025-01-20
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Average performance across 13 common benchmarks
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Kimi-k1.5
Average Score:56.6%(+16.4%)
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QwQ-32B
Average Score:40.2%
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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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Kimi-k1.5
0 providers
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QwQ-32B
0 providers
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Kimi-k1.5
Avg Score:56.6%(+16.4%)
Providers:0
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QwQ-32B
Avg Score:40.2%
Providers:0