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DeepSeek-V3 vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 12.9% higher average benchmark score. Overall, Kimi K2-Instruct-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 Instruct-0905 represents a specific release iteration of the K2 Instruct model, developed to incorporate refinements and improvements. Built to provide enhanced instruction-following based on deployment feedback, it continues the evolution of Moonshot's instruction-tuned offerings.
8 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
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Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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DeepSeek-V3
Average Score:60.4%
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Kimi K2-Instruct-0905
Average Score:73.3%(+12.9%)
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%
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Kimi K2-Instruct-0905
Coding65.8%(+23.8%)
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-Instruct-0905
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DeepSeek-V3
Avg Score:60.4%
Providers:1
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Kimi K2-Instruct-0905
Avg Score:73.3%(+12.9%)
Providers:0