Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 11.2% higher average benchmark score. Kimi K2 Instruct offers 6.1K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $2.67 cheaper per million tokens. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K 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 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.
10 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Kimi K2 Instruct
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 64 common benchmarks
Kimi K2 Instruct
Phi-3.5-mini-instruct
Available providers and their performance metrics
Kimi K2 Instruct
Novita
Phi-3.5-mini-instruct
Kimi K2 Instruct
Phi-3.5-mini-instruct
Kimi K2 Instruct
Phi-3.5-mini-instruct
Azure