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DeepSeek-V3 vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 16.4% higher average benchmark score. 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 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). 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.
6 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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DeepSeek-V3
Average Score:49.8%(+16.4%)
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Kimi K2 Base
Average Score:33.3%
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 Base
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DeepSeek-V3
Avg Score:49.8%(+16.4%)
Providers:1
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Kimi K2 Base
Avg Score:33.3%
Providers:0