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Kimi-k1.5 vs QwQ-32B
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 2.3% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi K1.5 was developed by Moonshot AI as an advanced language model with extended context capabilities, designed to handle long documents and conversations. Built to excel at tasks requiring comprehension of extensive information, it represents Moonshot's approach to long-context language understanding.
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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.
1 month newer
Kimi-k1.5
Moonshot AI
2025-01-20
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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Average performance across 3 common benchmarks
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Kimi-k1.5
Average Score:87.0%(+2.3%)
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QwQ-32B
Average Score:84.7%
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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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Kimi-k1.5
0 providers
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QwQ-32B
0 providers
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Kimi-k1.5
Avg Score:87.0%(+2.3%)
Providers:0
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QwQ-32B
Avg Score:84.7%
Providers:0