Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3n E4B
Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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.

IBM Granite 4.0 Tiny Preview
IBM
IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

IBM Granite 4.0 Tiny Preview
IBM
2025-05-02

Gemma 3n E4B
2025-06-26
1 month newer
Average performance across 2 common benchmarks

Gemma 3n E4B

IBM Granite 4.0 Tiny Preview
Performance comparison across key benchmark categories

Gemma 3n E4B

IBM Granite 4.0 Tiny Preview
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B

IBM Granite 4.0 Tiny Preview

Gemma 3n E4B

IBM Granite 4.0 Tiny Preview