Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Gemma 3N E4B was developed as a slightly larger edge-optimized variant, designed to provide enhanced capabilities while still fitting within edge computing constraints. Built to serve applications that can accommodate more parameters for improved quality, it expands the range of edge deployment options.
Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
4 months newer

Phi-4-multimodal-instruct
Microsoft
2025-02-01

Gemma 3n E4B
2025-06-26
Context window and performance specifications
Gemma 3n E4B
2024-06-01
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Gemma 3n E4B

Phi-4-multimodal-instruct
DeepInfra

Gemma 3n E4B

Phi-4-multimodal-instruct

Gemma 3n E4B

Phi-4-multimodal-instruct