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Kimi K2 0905 vs Phi 4
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 11.6% 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, Kimi K2 0905 is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
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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.
8 months newer
Phi 4
Microsoft
2024-12-12
Kimi K2 0905
Moonshot AI
2025-09-05
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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 5 common benchmarks
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Kimi K2 0905
Average Score:86.4%(+11.6%)
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Phi 4
Average Score:74.9%
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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 0905
2 providers
Novita
ZeroEval
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Phi 4
1 providers
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Kimi K2 0905
Avg Score:86.4%(+11.6%)
Providers:2
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Phi 4
Avg Score:74.9%
Providers:1