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.

Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. 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.

Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GLM-4.5V
Zhipu AI
2025-08-11
10 months newer
Pricing Comparison
Cost per million tokens (USD)
GLM-4.5V

Qwen2.5-Coder 32B Instruct
Performance Metrics
Context window and performance specifications
GLM-4.5V

Qwen2.5-Coder 32B Instruct
Average performance across 15 common benchmarks
GLM-4.5V

Qwen2.5-Coder 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5V
Novita
ZeroEval

Qwen2.5-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda
GLM-4.5V

Qwen2.5-Coder 32B Instruct