Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 6.4% higher average benchmark score. Granite 3.3 8B Base supports multimodal inputs. Overall, Granite 3.3 8B Base is the stronger choice for coding tasks.
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google'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.
9 months newer
Gemma 2 27B
2024-06-27
Granite 3.3 8B Base
IBM
2025-04-16
Average performance across 28 common benchmarks
Gemma 2 27B
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Available providers and their performance metrics
Gemma 2 27B
Granite 3.3 8B Base
Gemma 2 27B
Granite 3.3 8B Base