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.

Granite 3.3 8B Instruct
IBM
Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). The model shows particular specialization in code tasks with an average performance of 78.3%. 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 IBM's latest advancement in AI technology.

Granite 3.3 8B Instruct
IBM
2025-04-16
GLM-4.5V
Zhipu AI
2025-08-11
3 months newer
Performance Metrics
Context window and performance specifications
GLM-4.5V

Granite 3.3 8B Instruct
Average performance across 14 common benchmarks
GLM-4.5V

Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5V
Novita
ZeroEval

Granite 3.3 8B Instruct
GLM-4.5V

Granite 3.3 8B Instruct