Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 15.0% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Phi 4 Mini is the stronger choice for coding tasks.
Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
12 days newer
Kimi-k1.5
Moonshot AI
2025-01-20
Phi 4 Mini
Microsoft
2025-02-01
Average performance across 25 common benchmarks
Kimi-k1.5
Phi 4 Mini
Phi 4 Mini
2024-06-01
Available providers and their performance metrics
Kimi-k1.5
Phi 4 Mini
Kimi-k1.5
Phi 4 Mini