Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Gemma 3N E2B IT was developed as the instruction-tuned version of Gemma 3N E2B, designed to follow user instructions while maintaining edge-optimized efficiency. Built for applications requiring both compact size and reliable instruction-following, it extends conversational AI to resource-constrained environments.
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 E2B Instructed
2025-06-26
Context window and performance specifications
Gemma 3n E2B Instructed
2024-06-01
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Gemma 3n E2B Instructed

Phi-4-multimodal-instruct
DeepInfra

Gemma 3n E2B Instructed

Phi-4-multimodal-instruct

Gemma 3n E2B Instructed

Phi-4-multimodal-instruct