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Kimi K2 0905 vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 25.3% higher average benchmark score. Kimi K2 0905 offers 492.3K more tokens in context window than Phi 4. Phi 4 is $2.89 cheaper per million tokens. Overall, Phi 4 is the stronger choice for coding tasks.
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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.
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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.
8 months newer
Phi 4
Microsoft
2024-12-12
Kimi K2 0905
Moonshot AI
2025-09-05
Pricing Comparison
Cost per million tokens (USD)
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Kimi K2 0905
Input:$0.60
Output:$2.50
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Phi 4
Input:$0.07
Output:$0.14($2.89 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Kimi K2 0905
Average Score:36.0%
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Phi 4
Average Score:61.3%(+25.3%)
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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 0905
2 providers
Novita
ZeroEval
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Phi 4
1 providers
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Kimi K2 0905
Avg Score:36.0%
Providers:2
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Phi 4
Avg Score:61.3%(+25.3%)
Providers:1