Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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
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 3 4B
2025-03-12
Gemma 3n E2B
2025-06-26
3 months newer
Performance Metrics
Context window and performance specifications
Gemma 3 4B
Gemma 3n E2B
Average performance across 1 common benchmarks
Gemma 3 4B
Gemma 3n E2B
Performance comparison across key benchmark categories
Gemma 3 4B
Gemma 3n E2B
Gemma 3n E2B
2024-06-01
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Gemma 3n E2B
Gemma 3 4B
Gemma 3n E2B