Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E2B
Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.
Granite 3.3 8B Base
IBM
2025-04-16
Gemma 3n E2B
2025-06-26
2 months newer
Average performance across 6 common benchmarks
Gemma 3n E2B
Granite 3.3 8B Base
Performance comparison across key benchmark categories
Gemma 3n E2B
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B
Granite 3.3 8B Base
Gemma 3n E2B
Granite 3.3 8B Base