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

Qwen2.5 VL 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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.

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.

Qwen2.5 VL 32B Instruct
Alibaba
2025-02-28

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
4 months newer
Average performance across 2 common benchmarks

Qwen2.5 VL 32B Instruct

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories

Qwen2.5 VL 32B Instruct

Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics

Qwen2.5 VL 32B Instruct

Qwen3-235B-A22B-Instruct-2507

Qwen2.5 VL 32B Instruct

Qwen3-235B-A22B-Instruct-2507