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DeepSeek-V3 vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 14.5% higher average benchmark score. Kimi K2 0905 offers 262.1K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $1.73 cheaper per million tokens. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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.
8 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($1.73 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3
Average Score:65.7%
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Kimi K2 0905
Average Score:80.1%(+14.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Kimi K2 0905
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DeepSeek-V3
Avg Score:65.7%
Providers:1
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Kimi K2 0905
Avg Score:80.1%(+14.5%)
Providers:2