Model Comparison

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

Alibaba

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.

Alibaba

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.

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

Alibaba

QwQ-32B

Alibaba

2025-03-05

1 month newer

Performance comparison across key benchmark categories

Alibaba

Qwen2.5 VL 7B Instruct

math
46.6%
roleplay
63.6%
general
67.7%
Alibaba

QwQ-32B

math
+44.0%
90.6%
roleplay
+9.5%
73.1%
general
+2.6%
70.4%
Knowledge Cutoff
Training data recency comparison

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

Qwen2.5 VL 7B Instruct

0 providers
Alibaba

QwQ-32B

0 providers
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0
Alibaba

QwQ-32B

Avg Score:0.0%
Providers:0