Model Comparison
Gemma 3 4B vs Phi 4 Mini
Gemma 3 4B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 4B outperforms in 4 benchmarks (BIG-Bench Hard, GPQA, GSM8k, MATH), while Phi 4 Mini is better at 1 benchmark (MMLU-Pro).
Gemma 3 4B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Gemma 3 4B has 0.2B more parameters than Phi 4 Mini, making it 4.2% larger.
Context Window
Maximum input and output token capacity
Only Gemma 3 4B specifies input context (131,072 tokens). Only Gemma 3 4B specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Gemma 3 4B supports multimodal inputs, whereas Phi 4 Mini does not.
Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 4B
Phi 4 Mini
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while Phi 4 Mini uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Gemma 3 4B was released on 2025-03-12, while Phi 4 Mini was released on 2025-02-01.
Gemma 3 4B is 1 month newer than Phi 4 Mini.
Mar 12, 2025
1.2 years ago
1mo newerFeb 1, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Gemma 3 4B has a knowledge cutoff of 2024-08-01, while Phi 4 Mini has a cutoff of 2024-06-01.
Gemma 3 4B has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to Phi 4 Mini (2024-06-01).
Aug 2024
2 mo newerJun 2024
Outputs Comparison
Key Takeaways
Gemma 3 4B
View detailsPhi 4 Mini
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about Gemma 3 4B vs Phi 4 Mini.