Model Comparison
Gemma 3 4B vs Phi 4 Reasoning
Phi 4 Reasoning shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 4B outperforms in 1 benchmarks (IFEval), while Phi 4 Reasoning is better at 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro).
Phi 4 Reasoning shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Phi 4 Reasoning has 10.0B more parameters than Gemma 3 4B, making it 250.0% 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 Reasoning 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 Reasoning
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while Phi 4 Reasoning 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 Reasoning was released on 2025-04-30.
Phi 4 Reasoning is 2 months newer than Gemma 3 4B.
Mar 12, 2025
1.2 years ago
Apr 30, 2025
1.1 years ago
1mo newerKnowledge Cutoff
When training data ends
Gemma 3 4B has a knowledge cutoff of 2024-08-01, while Phi 4 Reasoning has a cutoff of 2025-03-01.
Phi 4 Reasoning has more recent training data (up to 2025-03-01), making it potentially better informed about events through that date compared to Gemma 3 4B (2024-08-01).
Aug 2024
Mar 2025
7 mo newerOutputs Comparison
Key Takeaways
Gemma 3 4B
View detailsPhi 4 Reasoning
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about Gemma 3 4B vs Phi 4 Reasoning.