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Kimi K2 Base vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 23.6% higher average benchmark score. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
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Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
10 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 39 common benchmarks
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Kimi K2 Base
Average Score:23.1%
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Phi-3.5-mini-instruct
Average Score:46.7%(+23.6%)
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-mini-instruct
1 providers
Azure
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Kimi K2 Base
Avg Score:23.1%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:46.7%(+23.6%)
Providers:1