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

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 7B 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 7B Instruct

roleplay
63.6%
general
67.7%
math
46.6%
Alibaba

Qwen3-235B-A22B-Instruct-2507

roleplay
+11.8%
75.4%
general
+6.0%
73.7%
math
+3.6%
50.2%

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

Qwen2.5 VL 7B Instruct

0 providers
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0
Alibaba

Qwen3-235B-A22B-Instruct-2507

Avg Score:0.0%
Providers:0