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Kimi K2 Base vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 3.9% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
2 months newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Kimi K2 Base
Moonshot AI
2025-07-11
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Average performance across 1 common benchmarks
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Kimi K2 Base
Average Score:48.1%
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Phi 4 Mini Reasoning
Average Score:52.0%(+3.9%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
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 Mini Reasoning
0 providers
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Kimi K2 Base
Avg Score:48.1%
Providers:0
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Phi 4 Mini Reasoning
Avg Score:52.0%(+3.9%)
Providers:0