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Kimi K2 0905 vs QwQ-32B
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 1.5% 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 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
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Alibaba Cloud / Qwen Team
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
6 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Kimi K2 0905
Moonshot AI
2025-09-05
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Kimi K2 0905
Average Score:73.9%(+1.5%)
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QwQ-32B
Average Score:72.4%
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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:73.9%(+1.5%)
Providers:2
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QwQ-32B
Avg Score:72.4%
Providers:0