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Kimi-k1.5 vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 43.6% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. 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-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Kimi-k1.5
Moonshot AI
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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Kimi-k1.5
Average Score:66.9%(+43.6%)
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QwQ-32B-Preview
Average Score:23.3%
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Knowledge Cutoff
Training data recency comparison
QwQ-32B-Preview
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-Preview
4 providers
DeepInfra
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Kimi-k1.5
Avg Score:66.9%(+43.6%)
Providers:0
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QwQ-32B-Preview
Avg Score:23.3%
Providers:4