Model Comparison

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

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). 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 72B Instruct

Alibaba

2025-01-26

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

5 months newer

Performance comparison across key benchmark categories

Alibaba

Qwen2.5 VL 72B Instruct

general
69.6%
math
+6.3%
56.5%
Alibaba

Qwen3-235B-A22B-Instruct-2507

general
+4.1%
73.7%
math
50.2%

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

Qwen2.5 VL 72B Instruct

0 providers
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0
Alibaba

Qwen3-235B-A22B-Instruct-2507

Avg Score:0.0%
Providers:0