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Kimi K2 Base vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 11.6% higher average benchmark score. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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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-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
10 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Kimi K2 Base
Moonshot AI
2025-07-11
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Average performance across 5 common benchmarks
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Kimi K2 Base
Average Score:73.5%(+11.6%)
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Phi-3.5-MoE-instruct
Average Score:61.8%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Base
0 providers
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Phi-3.5-MoE-instruct
0 providers
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Kimi K2 Base
Avg Score:73.5%(+11.6%)
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:61.8%
Providers:0