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

o1-mini
OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, 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

o1-mini
OpenAI
2024-09-12
20 days newer
Performance Metrics
Context window and performance specifications

o1-mini

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

o1-mini

Phi-3.5-vision-instruct
Provider Availability & Performance
Available providers and their performance metrics

o1-mini
Azure
OpenAI

Phi-3.5-vision-instruct

o1-mini

Phi-3.5-vision-instruct