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.

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20

Gemma 3n E4B
2025-06-26
1 month newer
Average performance across 11 common benchmarks

Gemma 3n E4B

Gemma 3n E4B Instructed LiteRT Preview
Performance comparison across key benchmark categories

Gemma 3n E4B

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B
2024-06-01
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B

Gemma 3n E4B Instructed LiteRT Preview

Gemma 3n E4B

Gemma 3n E4B Instructed LiteRT Preview