Model Comparison
Gemma 3n E4B vs Phi 4 Mini
Gemma 3n E4B has a slight edge in benchmark performance.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E4B outperforms in 4 benchmarks (BoolQ, HellaSwag, PIQA, Winogrande), while Phi 4 Mini is better at 3 benchmarks (ARC-C, BIG-Bench Hard, Social IQa).
Gemma 3n E4B has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Gemma 3n E4B has 4.2B more parameters than Phi 4 Mini, making it 108.3% larger.
Input Capabilities
Supported data types and modalities
Gemma 3n E4B supports multimodal inputs, whereas Phi 4 Mini does not.
Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3n E4B
Phi 4 Mini
License
Usage and distribution terms
Gemma 3n E4B 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 E4B was released on 2025-06-26, while Phi 4 Mini was released on 2025-02-01.
Gemma 3n E4B is 5 months newer than Phi 4 Mini.
Jun 26, 2025
10 months ago
4mo newerFeb 1, 2025
1.2 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 E4B
View detailsPhi 4 Mini
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about Gemma 3n E4B vs Phi 4 Mini