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.
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
2025-06-26
Gemma 3n E2B Instructed
2025-06-26
0 days newer
Performance comparison across key benchmark categories
Gemma 3n E2B
Gemma 3n E2B Instructed
Gemma 3n E2B
2024-06-01
Gemma 3n E2B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B
Gemma 3n E2B Instructed
Gemma 3n E2B
Gemma 3n E2B Instructed