Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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 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 3 12B
2025-03-12
Gemma 3n E4B
2025-06-26
3 months newer
Performance Metrics
Context window and performance specifications
Gemma 3 12B
Gemma 3n E4B
Average performance across 1 common benchmarks
Gemma 3 12B
Gemma 3n E4B
Performance comparison across key benchmark categories
Gemma 3 12B
Gemma 3n E4B
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
Gemma 3n E4B
Gemma 3 12B
Gemma 3n E4B