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-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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-Omni-7B
Alibaba
2025-03-27

o4-mini
OpenAI
2025-04-16
20 days newer
Average performance across 3 common benchmarks

o4-mini

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

o4-mini

Qwen2.5-Omni-7B
o4-mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

o4-mini

Qwen2.5-Omni-7B

o4-mini

Qwen2.5-Omni-7B