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Kimi K2 0905 vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 1.6% higher average benchmark score. Kimi K2 0905 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. 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.
6 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Kimi K2 0905
Moonshot AI
2025-09-05
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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Kimi K2 0905
Average Score:45.8%
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QwQ-32B
Average Score:47.5%(+1.6%)
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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 K2 0905
2 providers
Novita
ZeroEval
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QwQ-32B
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Kimi K2 0905
Avg Score:45.8%
Providers:2
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QwQ-32B
Avg Score:47.5%(+1.6%)
Providers:0