Model Comparison

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

Alibaba

QvQ-72B-Preview

Alibaba

QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

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.

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

Alibaba

Qwen2.5-Omni-7B

Alibaba

2025-03-27

3 months newer

Average performance across 3 common benchmarks

Alibaba

QvQ-72B-Preview

+8.5%
Average Score:59.2%
Alibaba

Qwen2.5-Omni-7B

Average Score:50.7%

Performance comparison across key benchmark categories

Alibaba

QvQ-72B-Preview

vision
+0.7%
70.3%
math
53.6%
general
20.4%
Alibaba

Qwen2.5-Omni-7B

vision
69.6%
math
+9.6%
63.3%
general
+38.3%
58.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

QvQ-72B-Preview

0 providers
Alibaba

Qwen2.5-Omni-7B

0 providers
Alibaba

QvQ-72B-Preview

+8.5%
Avg Score:59.2%
Providers:0
Alibaba

Qwen2.5-Omni-7B

Avg Score:50.7%
Providers:0