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
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 3 4B
2025-03-12

Gemma 3n E4B Instructed
2025-06-26
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3 4B

Gemma 3n E4B Instructed
Performance Metrics
Context window and performance specifications

Gemma 3 4B

Gemma 3n E4B Instructed
Average performance across 9 common benchmarks

Gemma 3 4B

Gemma 3n E4B Instructed
Performance comparison across key benchmark categories

Gemma 3 4B

Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
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
Together

Gemma 3 4B

Gemma 3n E4B Instructed