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Kimi K2 0905 vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 20.2% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than Qwen2.5-Coder 32B Instruct. Qwen2.5-Coder 32B Instruct is $2.92 cheaper per million tokens. Qwen2.5-Coder 32B Instruct 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
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
11 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($2.92 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Kimi K2 0905
Average Score:89.1%(+20.2%)
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Qwen2.5-Coder 32B Instruct
Average Score:68.8%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 0905
2 providers
Novita
ZeroEval
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Qwen2.5-Coder 32B Instruct
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Kimi K2 0905
Avg Score:89.1%(+20.2%)
Providers:2
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Qwen2.5-Coder 32B Instruct
Avg Score:68.8%
Providers:4