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DeepSeek-V3 vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 38.2% higher average benchmark score. Kimi K2 0905 offers 262.1K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $1.73 cheaper per million tokens. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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.
8 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Kimi K2 0905
Moonshot AI
2025-09-05
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($1.73 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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DeepSeek-V3
Average Score:61.1%(+38.2%)
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Kimi K2 0905
Average Score:22.9%
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 0905
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DeepSeek-V3
Avg Score:61.1%(+38.2%)
Providers:1
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Kimi K2 0905
Avg Score:22.9%
Providers:2