Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). 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.
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.
1 year newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Context window and performance specifications
Average performance across 57 common benchmarks
Kimi K2-Instruct-0905
Phi-3.5-mini-instruct
Available providers and their performance metrics
Kimi K2-Instruct-0905
Phi-3.5-mini-instruct
Azure
Kimi K2-Instruct-0905
Phi-3.5-mini-instruct
Kimi K2-Instruct-0905
Phi-3.5-mini-instruct