Google Launches Gemma 4 AI Models for Local Mobile Use

Google introduced Gemma 4 on April 2, 2026, marking the release of its most capable open models to date. The model family is designed specifically for advanced reasoning and agentic workflows, delivering high intelligence-per-parameter and making breakthrough capabilities accessible under an Apache 2.0 license.

Gemma 4 is built using the same research and technology as Gemini 3. While Google maintains proprietary Gemini models, Gemma 4 provides developers with an open-weight and open-source alternative that can be run on local hardware, including laptop GPUs and billions of Android devices, without requiring an internet connection.

Model Variants and Performance

The Gemma 4 family is released in four distinct sizes to balance efficiency and power:

• Effective 2B (E2B)
• Effective 4B (E4B)
• 26B Mixture of Experts (MoE)
• 31B Dense

According to data from Arena.ai’s chat arena as of April 1, 2026, the 31B model is ranked as the third-best open model globally. The 26B model holds the sixth position. Google states that these models can outcompete other models up to 20 times their size in terms of performance.

Android Integration and Local Intelligence

A primary focus of the Gemma 4 launch is the enablement of local agentic AI on the Android platform. Google is implementing this through two main pillars: on-device intelligence for end-users and local-first agentic coding for developers.

For app developers, Gemma 4 is integrated into Android Studio. This allows the IDE to utilize the model’s reasoning power and native support for tool use while keeping the inference and the model contained entirely on the local development machine. Gemma 4 was specifically trained on Android development and designed for Agent Mode, which enables use cases such as refactoring legacy code, applying iterative fixes, and building new features or entire applications.

For the end-user experience, developers can use the ML Kit GenAI Prompt API to run Gemma 4 directly on Android device hardware. This approach allows for intelligent experiences that function locally, enhancing privacy and security because data, uploaded files, and chats are not shared with third parties.

Developer Flexibility and Deployment

The use of the Apache 2.0 license is intended to provide developers with digital sovereignty and complete control over their infrastructure, data, and models. This allows for deployment across various environments, including on-premises setups or the cloud.

Developers can customize Gemma 4 using platforms such as Google Colab, Vertex AI, or gaming GPUs. While local on-device inference is positioned as the ideal for offline use, Google Cloud is available to remove compute ceilings for those scaling to production.

This open-source license provides a foundation for complete developer flexibility and digital sovereignty; granting you complete control over your data, infrastructure, and models

Google blog post

By providing both open-weight and open-source access, Google intends for Gemma 4 to complement its proprietary Gemini models, offering a combination of tools that can be adapted to specific needs while maintaining the ability to run locally on user hardware.