Model Comparison
Gemma 3n E2B vs Phi 4 Mini
Phi 4 Mini shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E2B outperforms in 2 benchmarks (HellaSwag, PIQA), while Phi 4 Mini is better at 5 benchmarks (ARC-C, BIG-Bench Hard, BoolQ, Social IQa, Winogrande).
Phi 4 Mini shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Gemma 3n E2B has 4.2B more parameters than Phi 4 Mini, making it 108.3% larger.
Input Capabilities
Supported data types and modalities
Gemma 3n E2B supports multimodal inputs, whereas Phi 4 Mini does not.
Gemma 3n E2B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3n E2B
Phi 4 Mini
License
Usage and distribution terms
Gemma 3n E2B is licensed under a proprietary license, while Phi 4 Mini uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemma 3n E2B was released on 2025-06-26, while Phi 4 Mini was released on 2025-02-01.
Gemma 3n E2B is 5 months newer than Phi 4 Mini.
Jun 26, 2025
10 months ago
4mo newerFeb 1, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Both models have the same knowledge cutoff date of 2024-06-01.
They should have similar awareness of historical events and information up to this date.
Jun 2024
Jun 2024
Outputs Comparison
Key Takeaways
Gemma 3n E2B
View detailsPhi 4 Mini
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about Gemma 3n E2B vs Phi 4 Mini.