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

o3
OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 65.3% across 19 benchmarks. It excels particularly in AIME 2024 (91.6%), ARC-AGI (88.0%), MathVista (86.8%). The model shows particular specialization in vision tasks with an average performance of 76.7%. 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.

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.

Qwen2.5 VL 7B Instruct
Alibaba
2025-01-26

o3
OpenAI
2025-04-16
2 months newer
Performance Metrics
Context window and performance specifications

o3

Qwen2.5 VL 7B Instruct
Average performance across 2 common benchmarks

o3

Qwen2.5 VL 7B Instruct
Performance comparison across key benchmark categories

o3

Qwen2.5 VL 7B Instruct
o3
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

o3
OpenAI

Qwen2.5 VL 7B Instruct

o3

Qwen2.5 VL 7B Instruct