Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

o4-mini
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Phi-3.5-vision-instruct
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%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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.

Phi-3.5-vision-instruct
Microsoft
2024-08-23

o4-mini
OpenAI
2025-04-16
7 months newer
Average performance across 2 common benchmarks

o4-mini

Phi-3.5-vision-instruct
Performance comparison across key benchmark categories

o4-mini

Phi-3.5-vision-instruct
o4-mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

o4-mini

Phi-3.5-vision-instruct

o4-mini

Phi-3.5-vision-instruct