Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemma 3 1B

Google

Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Google

Gemma 3n E4B

Google

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.

Google

Gemma 3 1B

Google

2025-03-12

Google

Gemma 3n E4B

Google

2025-06-26

3 months newer

Average performance across 1 common benchmarks

Google

Gemma 3 1B

Average Score:39.1%
Google

Gemma 3n E4B

+13.8%
Average Score:52.9%

Performance comparison across key benchmark categories

Google

Gemma 3 1B

general
17.8%
Google

Gemma 3n E4B

general
+41.8%
59.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 1B

0 providers
Google

Gemma 3n E4B

0 providers
Google

Gemma 3 1B

Avg Score:39.1%
Providers:0
Google

Gemma 3n E4B

+13.8%
Avg Score:52.9%
Providers:0