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

o4-mini
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). 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 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 32B Instruct
Alibaba
2025-02-28

o4-mini
OpenAI
2025-04-16
1 month newer
Average performance across 2 common benchmarks

o4-mini

Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories

o4-mini

Qwen2.5 VL 32B Instruct
o4-mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

o4-mini

Qwen2.5 VL 32B Instruct

o4-mini

Qwen2.5 VL 32B Instruct