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Kimi-k1.5 vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 13.7% higher average benchmark score. 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 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
12 days newer
Kimi-k1.5
Moonshot AI
2025-01-20
Phi-4-multimodal-instruct
Microsoft
2025-02-01
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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:72.4%(+13.7%)
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Phi-4-multimodal-instruct
Average Score:58.8%
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
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-multimodal-instruct
1 providers
DeepInfra
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Kimi-k1.5
Avg Score:72.4%(+13.7%)
Providers:0
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Phi-4-multimodal-instruct
Avg Score:58.8%
Providers:1