Model Comparison

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

Alibaba

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.

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

QvQ-72B-Preview

Alibaba

2024-12-25

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

6 months newer

Performance comparison across key benchmark categories

Alibaba

QvQ-72B-Preview

general
20.4%
math
+3.4%
53.6%
Alibaba

Qwen3-235B-A22B-Instruct-2507

general
+53.3%
73.7%
math
50.2%

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

QvQ-72B-Preview

0 providers
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0
Alibaba

Qwen3-235B-A22B-Instruct-2507

Avg Score:0.0%
Providers:0
QvQ-72B-Preview vs Qwen3-235B-A22B-Instruct-2507 - AI Model Comparison | The AI Forger