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Kimi K2 Base vs Phi 4
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 3.2% 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 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
7 months newer
Phi 4
Microsoft
2024-12-12
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Kimi K2 Base
Average Score:62.1%(+3.2%)
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Phi 4
Average Score:58.9%
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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:62.1%(+3.2%)
Providers:0
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Phi 4
Avg Score:58.9%
Providers:1