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 E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 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. 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 3 4B
2025-03-12

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
2 months newer
Performance Metrics
Context window and performance specifications

Gemma 3 4B

Gemma 3n E4B Instructed LiteRT Preview
Average performance across 10 common benchmarks

Gemma 3 4B

Gemma 3n E4B Instructed LiteRT Preview
Performance comparison across key benchmark categories

Gemma 3 4B

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 4B
DeepInfra

Gemma 3n E4B Instructed LiteRT Preview

Gemma 3 4B

Gemma 3n E4B Instructed LiteRT Preview