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-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
GLM-4.5
Zhipu AI
2025-07-28
11 months newer
Performance Metrics
Context window and performance specifications
GLM-4.5

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

Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra

Qwen2-VL-72B-Instruct
GLM-4.5

Qwen2-VL-72B-Instruct