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Kimi K2 0905 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 28.2% higher average benchmark score. Kimi K2 0905 is available on 2 providers. 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-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.
1 year newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Kimi K2 0905
Moonshot AI
2025-09-05
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Kimi K2 0905
Average Score:86.4%(+28.2%)
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Phi-3.5-MoE-instruct
Average Score:58.2%
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-3.5-MoE-instruct
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Kimi K2 0905
Avg Score:86.4%(+28.2%)
Providers:2
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Phi-3.5-MoE-instruct
Avg Score:58.2%
Providers:0