Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 31.7% higher average benchmark score. GLM-4.6 is available on 2 providers. Overall, Granite 3.3 8B Base is the stronger choice for coding tasks.
Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). 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.
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.
5 months newer
Granite 3.3 8B Base
IBM
2025-04-16
GLM-4.6
Zhipu AI
2025-09-30
Context window and performance specifications
Average performance across 27 common benchmarks
GLM-4.6
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Granite 3.3 8B Base
GLM-4.6
Granite 3.3 8B Base
GLM-4.6
Granite 3.3 8B Base