Model Comparison

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

GLM-4.5-Air

Zhipu AI

GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). 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-4.5-Air

Zhipu AI

2025-07-28

5 months newer

Average performance across 2 common benchmarks

GLM-4.5-Air

+20.8%

Average Score:78.2%

Qwen2.5 VL 32B Instruct

Average Score:57.4%

Performance comparison across key benchmark categories

GLM-4.5-Air

math

+33.0%

98.1%

code

46.0%

general

+15.9%

76.0%

Qwen2.5 VL 32B Instruct

math

65.1%

code

+41.8%

87.8%

general

60.1%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5-Air

0 providers

Qwen2.5 VL 32B Instruct

0 providers

GLM-4.5-Air

+20.8%

Avg Score:78.2%

Providers:0

Qwen2.5 VL 32B Instruct

Avg Score:57.4%

Providers:0