Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 38.1% higher average benchmark score. Kimi K2 Instruct offers 230.1K more tokens in context window than Phi 4. Phi 4 is $2.66 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 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). 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.
7 months newer
Phi 4
Microsoft
2024-12-12
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Kimi K2 Instruct
Phi 4
Context window and performance specifications
Average performance across 44 common benchmarks
Kimi K2 Instruct
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
Kimi K2 Instruct
Novita
Phi 4
Kimi K2 Instruct
Phi 4
Kimi K2 Instruct
Phi 4
DeepInfra