Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 19.1% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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.
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
5 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Phi 4 Mini
Microsoft
2025-02-01
Average performance across 26 common benchmarks
Phi 4 Mini
Phi-3.5-vision-instruct
Phi 4 Mini
2024-06-01
Available providers and their performance metrics
Phi 4 Mini
Phi-3.5-vision-instruct
Phi 4 Mini
Phi-3.5-vision-instruct