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.

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

OpenAI

o3-pro

OpenAI

2025-06-10

4 months newer

Performance Metrics

Context window and performance specifications

OpenAI

o3-pro

Larger context
Max Context:300.0K
Alibaba

Qwen2.5 VL 7B Instruct

Max Context:-
Parameters:8.3B
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
Alibaba

Qwen2.5 VL 7B Instruct

0 providers
OpenAI

o3-pro

Avg Score:0.0%
Providers:1
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0