Model Comparison

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

OpenAI

o1-pro

OpenAI

o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). The model shows particular specialization in general tasks with an average performance of 82.5%. 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.

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.

OpenAI

o1-pro

OpenAI

2024-12-17

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

1 month newer

Performance comparison across key benchmark categories

OpenAI

o1-pro

general
+14.8%
82.5%
Alibaba

Qwen2.5 VL 7B Instruct

general
67.7%
Knowledge Cutoff
Training data recency comparison

o1-pro

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o1-pro

0 providers
Alibaba

Qwen2.5 VL 7B Instruct

0 providers
OpenAI

o1-pro

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0