Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 2 9B
Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google'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.
Gemma 2 9B
2024-06-27
Granite 3.3 8B Base
IBM
2025-04-16
9 months newer
Average performance across 8 common benchmarks
Gemma 2 9B
Granite 3.3 8B Base
Performance comparison across key benchmark categories
Gemma 2 9B
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 2 9B
Granite 3.3 8B Base
Gemma 2 9B
Granite 3.3 8B Base