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 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.

Gemma 2 9B
2024-06-27

Granite 3.3 8B Instruct
IBM
2025-04-16
9 months newer
Average performance across 3 common benchmarks

Gemma 2 9B

Granite 3.3 8B Instruct
Performance comparison across key benchmark categories

Gemma 2 9B

Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 9B

Granite 3.3 8B Instruct

Gemma 2 9B

Granite 3.3 8B Instruct