highAndroid Authority·April 11, 2026

I tested Google’s upcoming Gemini Nano 4 — its faster, smarter AI isn’t what I expected

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Earlier this month, Google lifted the lid on its latest and most powerful Gemma 4 AI models that you can run on your own hardware. Gemma competes on performance with other models like GLM5 and Qwen3.5, but its closed Gemini model remains the flagship to take on OpenAI and Anthropic. Still, the exciting news is that Gemma 4 has versions small enough to run on your smartphone.

Specifically, Gemma 4 E2B and E4B are distilled down to effective two- and four-billion-parameter footprints. At just 4.2GB and 5.9GB, these can more easily fit into phones with 12GB of RAM or more. These are also the foundations for Google’s next-generation Gemini Nano smartphone models — Gemini Nano 4 Fast and Nano 4 Full — scheduled to launch later this year.

Key Insights

1

Google is enabling on-device AI capabilities through optimized smaller models (Gemini Nano 4), supporting app differentiation and offline functionality

2

Gemma 4 E2B and E4B models represent a shift toward developer-friendly, distributable AI that can enhance app capabilities without cloud dependency

3

On-device AI integration is becoming a key competitive differentiator for Android apps in 2026

I tested Google’s upcoming Gemini Nano 4 — its faster, smart | ASO News