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
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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
2025-06-26

Gemma 3n E4B Instructed
2025-06-26
0 days newer
Performance Metrics
Context window and performance specifications

Gemma 3n E4B

Gemma 3n E4B Instructed
Performance comparison across key benchmark categories

Gemma 3n E4B

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

Gemma 3n E4B

Gemma 3n E4B Instructed
Together

Gemma 3n E4B

Gemma 3n E4B Instructed