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Kimi K2 0905 vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 16.3% higher average benchmark score. Kimi K2 0905 offers 458.8K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $2.75 cheaper per million tokens. QwQ-32B-Preview is available on 4 providers. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
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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 Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
9 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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Kimi K2 0905
Input:$0.60
Output:$2.50
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QwQ-32B-Preview
Input:$0.15
Output:$0.20($2.75 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Kimi K2 0905
Average Score:73.9%(+16.3%)
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QwQ-32B-Preview
Average Score:57.6%
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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 K2 0905
2 providers
Novita
ZeroEval
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QwQ-32B-Preview
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Kimi K2 0905
Avg Score:73.9%(+16.3%)
Providers:2
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QwQ-32B-Preview
Avg Score:57.6%
Providers:4