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

QvQ-72B-Preview
Alibaba
QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, 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.

QvQ-72B-Preview
Alibaba
2024-12-25

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
6 months newer
Performance comparison across key benchmark categories

QvQ-72B-Preview

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

QvQ-72B-Preview

Qwen3-235B-A22B-Instruct-2507

QvQ-72B-Preview

Qwen3-235B-A22B-Instruct-2507