Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GLM-4.5
Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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 72B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
GLM-4.5
Zhipu AI
2025-07-28
6 months newer
Performance Metrics
Context window and performance specifications
GLM-4.5

Qwen2.5 VL 72B Instruct
Performance comparison across key benchmark categories
GLM-4.5

Qwen2.5 VL 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra

Qwen2.5 VL 72B Instruct
GLM-4.5

Qwen2.5 VL 72B Instruct