Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GLM-4.5
Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K 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 Zhipu AI's latest advancement in AI technology.
Granite 3.3 8B Base
IBM
Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). 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 Base
IBM
2025-04-16
GLM-4.5
Zhipu AI
2025-07-28
3 months newer
Performance Metrics
Context window and performance specifications
GLM-4.5
Granite 3.3 8B Base
Average performance across 2 common benchmarks
GLM-4.5
Granite 3.3 8B Base
Performance comparison across key benchmark categories
GLM-4.5
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra
Granite 3.3 8B Base
GLM-4.5
Granite 3.3 8B Base