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

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.

QwQ-32B
Alibaba
QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

QwQ-32B
Alibaba
2025-03-05

Qwen2.5-Omni-7B
Alibaba
2025-03-27
22 days newer
Average performance across 2 common benchmarks

Qwen2.5-Omni-7B

QwQ-32B
Performance comparison across key benchmark categories

Qwen2.5-Omni-7B

QwQ-32B
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Qwen2.5-Omni-7B

QwQ-32B

Qwen2.5-Omni-7B

QwQ-32B