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

QwQ-32B

Alibaba Cloud / Qwen Team

QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). 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.

Alibaba Cloud / Qwen Team

QwQ-32B

Alibaba Cloud / Qwen Team

2025-03-05

GLM-4.5V

Zhipu AI

2025-08-11

5 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

QwQ-32B

Max Context:-
Parameters:32.5B

Average performance across 7 common benchmarks

GLM-4.5V

Average Score:0.0%
Alibaba Cloud / Qwen Team

QwQ-32B

+74.6%
Average Score:74.6%
Knowledge Cutoff
Training data recency comparison

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

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

QwQ-32B

0 providers

GLM-4.5V

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

QwQ-32B

+74.6%
Avg Score:74.6%
Providers:0