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DeepSeek-V2.5 vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 31.3% higher average benchmark score. Kimi K2 0905 offers 507.9K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $2.68 cheaper per million tokens. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Kimi K2 0905
Moonshot AI
2025-09-05
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($2.68 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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DeepSeek-V2.5
Average Score:59.3%(+31.3%)
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Kimi K2 0905
Average Score:28.0%
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:59.3%(+31.3%)
Providers:3
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Kimi K2 0905
Avg Score:28.0%
Providers:2