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

GPT-4o mini
OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.

GPT-4o mini
OpenAI
2024-07-18

Phi-3.5-vision-instruct
Microsoft
2024-08-23
1 month newer
Performance Metrics
Context window and performance specifications

GPT-4o mini

Phi-3.5-vision-instruct
Average performance across 2 common benchmarks

GPT-4o mini

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

GPT-4o mini

Phi-3.5-vision-instruct
GPT-4o mini
2023-10-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4o mini
Azure

Phi-3.5-vision-instruct

GPT-4o mini

Phi-3.5-vision-instruct