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Kimi-k1.5 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 18.4% 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-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Kimi-k1.5
Moonshot AI
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Kimi-k1.5
Average Score:87.4%(+18.4%)
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Phi-3.5-mini-instruct
Average Score:69.0%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi-k1.5
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Kimi-k1.5
Avg Score:87.4%(+18.4%)
Providers:0
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Phi-3.5-mini-instruct
Avg Score:69.0%
Providers:1