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.

Alibaba Cloud / Qwen Team

QvQ-72B-Preview

Alibaba Cloud / Qwen Team

QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

QvQ-72B-Preview

Alibaba Cloud / Qwen Team

2024-12-25

GLM-4.5V

Zhipu AI

2025-08-11

7 months newer

Performance Metrics

Context window and performance specifications

GLM-4.5V

Larger context
Max Context:196.6K
Parameters:108.0B
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

Max Context:-
Parameters:73.4B

Average performance across 4 common benchmarks

GLM-4.5V

Average Score:0.0%
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

+49.5%
Average Score:49.5%

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

0 providers

GLM-4.5V

Avg Score:0.0%
Providers:2
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

+49.5%
Avg Score:49.5%
Providers:0