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.

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 26 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). The model shows particular specialization in general tasks with an average performance of 77.5%. It supports a 147K 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
GLM-4.5V
Zhipu AI
2025-08-11
20 days newer
Pricing Comparison
Cost per million tokens (USD)
GLM-4.5V

Qwen3-235B-A22B-Instruct-2507
Performance Metrics
Context window and performance specifications
GLM-4.5V

Qwen3-235B-A22B-Instruct-2507
Average performance across 26 common benchmarks
GLM-4.5V

Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5V
Novita
ZeroEval

Qwen3-235B-A22B-Instruct-2507
Novita
GLM-4.5V

Qwen3-235B-A22B-Instruct-2507