Model Comparison

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

OpenAI

o3-pro

OpenAI

o3-pro is a multimodal language model developed by OpenAI. It supports a 300K 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 2025, it represents OpenAI's latest advancement in AI technology.

Microsoft

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.

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

OpenAI

o3-pro

OpenAI

2025-06-10

9 months newer

Performance Metrics

Context window and performance specifications

OpenAI

o3-pro

Larger context
Max Context:300.0K
Microsoft

Phi-3.5-vision-instruct

Max Context:-
Parameters:4.2B
Knowledge Cutoff
Training data recency comparison

o3-pro

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o3-pro

1 providers

OpenAI

Throughput: 25 tok/s
Latency: 30ms
Microsoft

Phi-3.5-vision-instruct

0 providers
OpenAI

o3-pro

Avg Score:0.0%
Providers:1
Microsoft

Phi-3.5-vision-instruct

Avg Score:0.0%
Providers:0