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Kimi-k1.5 vs Phi 4
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 13.4% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Kimi-k1.5 is the stronger choice for coding tasks.
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Moonshot AI
Kimi K1.5 was developed by Moonshot AI as an advanced language model with extended context capabilities, designed to handle long documents and conversations. Built to excel at tasks requiring comprehension of extensive information, it represents Moonshot's approach to long-context language understanding.
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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.
1 month newer
Phi 4
Microsoft
2024-12-12
Kimi-k1.5
Moonshot AI
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Kimi-k1.5
Average Score:87.3%(+13.4%)
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Phi 4
Average Score:73.9%
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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-k1.5
0 providers
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Phi 4
1 providers
DeepInfra
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Kimi-k1.5
Avg Score:87.3%(+13.4%)
Providers:0
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Phi 4
Avg Score:73.9%
Providers:1