Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GLM-4.5V
Zhipu AI
GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. 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 Zhipu AI's latest advancement in AI technology.

Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.

Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
GLM-4.5V
Zhipu AI
2025-08-11
5 months newer
Performance Metrics
Context window and performance specifications
GLM-4.5V

Qwen2.5 VL 32B Instruct
Average performance across 28 common benchmarks
GLM-4.5V

Qwen2.5 VL 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5V
Novita
ZeroEval

Qwen2.5 VL 32B Instruct
GLM-4.5V

Qwen2.5 VL 32B Instruct