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DeepSeek-V2.5 vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 17.6% 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 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 was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Kimi K2 Instruct
Moonshot AI
2025-07-11
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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 4 common benchmarks
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DeepSeek-V2.5
Average Score:70.3%
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Kimi K2 Instruct
Average Score:87.9%(+17.6%)
Performance comparison across key benchmark categories
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DeepSeek-V2.5
Coding16.8%
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Kimi K2 Instruct
Coding71.6%(+54.8%)
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:70.3%
Providers:3
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Kimi K2 Instruct
Avg Score:87.9%(+17.6%)
Providers:1