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Kimi K2 Base vs Phi 4
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 2.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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.
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Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
7 months newer
Phi 4
Microsoft
2024-12-12
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Kimi K2 Base
Average Score:42.8%(+2.0%)
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Phi 4
Average Score:40.9%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Base
0 providers
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Phi 4
1 providers
DeepInfra
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Kimi K2 Base
Avg Score:42.8%(+2.0%)
Providers:0
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Phi 4
Avg Score:40.9%
Providers:1