Model Comparison

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

Alibaba

Qwen2.5 32B Instruct

Alibaba

Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. 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 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

Qwen2.5 32B Instruct

Alibaba

2024-09-19

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

4 months newer

Performance comparison across key benchmark categories

Alibaba

Qwen2.5 32B Instruct

math
+42.9%
89.5%
general
+3.6%
71.3%
Alibaba

Qwen2.5 VL 7B Instruct

math
46.6%
general
67.7%

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

Qwen2.5 32B Instruct

0 providers
Alibaba

Qwen2.5 VL 7B Instruct

0 providers
Alibaba

Qwen2.5 32B Instruct

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0