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

Gemma 3n E2B Instructed
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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 E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 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. 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 E2B Instructed LiteRT (Preview)
2025-05-20

Gemma 3n E2B Instructed
2025-06-26
1 month newer
Average performance across 17 common benchmarks

Gemma 3n E2B Instructed

Gemma 3n E2B Instructed LiteRT (Preview)
Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed
2024-06-01
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B Instructed

Gemma 3n E2B Instructed LiteRT (Preview)

Gemma 3n E2B Instructed

Gemma 3n E2B Instructed LiteRT (Preview)