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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.

Alibaba Cloud / Qwen Team

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.

Alibaba Cloud / Qwen Team

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

Larger context
Max Context:262.1K
Parameters:355.0B
Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

Max Context:-
Parameters:72.0B

Performance comparison across key benchmark categories

GLM-4.5

math
+41.8%
98.2%
general
+9.7%
79.3%
Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

math
56.5%
general
69.6%

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5

1 providers

DeepInfra

Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

0 providers

GLM-4.5

Avg Score:0.0%
Providers:1
Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0