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DeepSeek-V2.5 vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 29.0% higher average benchmark score. DeepSeek-V2.5 is available on 3 providers. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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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.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V2.5
Average Score:48.6%
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Kimi K2-Instruct-0905
Average Score:77.6%(+29.0%)
Performance comparison across key benchmark categories
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DeepSeek-V2.5
Coding16.8%
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Kimi K2-Instruct-0905
Coding65.8%(+49.0%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:48.6%
Providers:3
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Kimi K2-Instruct-0905
Avg Score:77.6%(+29.0%)
Providers:0