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Kimi-k1.5 vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 6.1% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Phi 4 is the stronger choice for coding tasks.
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Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
1 month newer
Phi 4
Microsoft
2024-12-12
Kimi-k1.5
Moonshot AI
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Kimi-k1.5
Average Score:36.8%
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Phi 4
Average Score:42.9%(+6.1%)
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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-k1.5
0 providers
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Phi 4
1 providers
DeepInfra
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Kimi-k1.5
Avg Score:36.8%
Providers:0
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Phi 4
Avg Score:42.9%(+6.1%)
Providers:1