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DeepSeek-V3.1 vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 1.4% higher average benchmark score. DeepSeek-V3.1 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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-V3.1
DeepSeek
2025-01-10
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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DeepSeek-V3.1
Average Score:36.0%(+1.4%)
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Kimi K2 Base
Average Score:34.6%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Kimi K2 Base
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DeepSeek-V3.1
Avg Score:36.0%(+1.4%)
Providers:2
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Kimi K2 Base
Avg Score:34.6%
Providers:0