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DeepSeek-V2.5 vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 28.3% higher average benchmark score. Kimi K2 Instruct offers 245.8K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $2.45 cheaper per million tokens. DeepSeek-V2.5 is available on 3 providers. Overall, Kimi K2 Instruct 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 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. 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 Instruct
Moonshot AI
2025-07-11
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($2.45 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 46 common benchmarks
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DeepSeek-V2.5
Average Score:23.2%
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Kimi K2 Instruct
Average Score:51.5%(+28.3%)
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:23.2%
Providers:3
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Kimi K2 Instruct
Avg Score:51.5%(+28.3%)
Providers:1