Google has officially released a preview of Gemma 3n, its latest advancement in mobile-first AI models, engineered to bring lightning-speed intelligence directly to your smartphone, tablet, or laptop — no cloud connection required.
A Leap Toward On-Device Intelligence
Building on the success of previous models like Gemma 3 and Gemma 3 QAT, Gemma 3n is designed to operate in real-time on personal devices. Developed in close partnership with industry giants such as Qualcomm, MediaTek, and Samsung System LSI, the model uses a groundbreaking shared architecture specifically optimized for mobile hardware.
This architecture lays the foundation for the next generation of Gemini Nano, enabling responsive, multimodal AI experiences on devices worldwide. Developers can now experiment with this technology through an early preview and begin building for platforms like Android and Chrome.
Key Innovations in Gemma 3n
- Optimized Speed and Efficiency: The model responds up to 1.5x faster than its predecessor (Gemma 3 4B) while consuming significantly less memory, thanks to innovations like Per-Layer Embeddings (PLE), KVC sharing, and activation quantization.
- Many-in-1 Flexibility: Featuring a unique nested design, the 4B model includes a built-in 2B submodel. This allows developers to dynamically switch between quality and latency without needing multiple models. The mix’n’match capability further enhances customization based on specific use cases.
- Privacy by Design: By running locally, Gemma 3n protects user privacy and supports offline functionality — a critical need in today’s data-conscious world.
- Multimodal Audio Understanding: The model processes audio, text, and visual inputs with enhanced accuracy. It supports high-quality speech transcription, translation, and video understanding. Interleaved inputs across modalities enable rich, interactive experiences.
- Expanded Multilingual Support: Gemma 3n shows improved accuracy in multiple languages, including Korean, German, Japanese, Spanish, and French, achieving 50.1% on the multilingual WMT24++ (ChrF) benchmark.
Unlocking a New Class of AI Experiences
Gemma 3n empowers developers to create dynamic applications that respond to real-world stimuli in real time. With support for audio, video, text, and image processing, the possibilities are vast:
- Real-time, multimodal interaction apps that understand both visuals and sounds from the environment
- Voice-driven tools capable of accurate transcription and instant translation
- Context-aware content generation across platforms
These features make Gemma 3n a powerful tool for developers aiming to build smart, responsive, and private experiences right on the user’s device.
Built Responsibly
Google emphasizes its commitment to responsible AI development with Gemma 3n. The model has undergone safety assessments, data governance reviews, and fine-tuning aligned with the company’s ethical standards. As the AI ecosystem evolves, Google continues refining its practices to ensure safe, transparent innovation.
How to Get Started
Developers can begin exploring Gemma 3n immediately through two main access points:
- Google AI Studio: Try Gemma 3n directly in your browser via Google AI Studio—no installation required.
- Google AI Edge: For those looking to build locally, Google AI Edge offers tools and libraries to get started with text and image-based applications.
Gemma 3n isn’t just a new model—it’s a shift in how we think about AI accessibility and performance. With this preview, Google is empowering developers to create next-gen experiences that respect privacy, work offline, and respond in real-time.
Looking Ahead
As Google continues to innovate in mobile AI, Gemma 3n will form the backbone of future on-device intelligence. For those tracking the evolution of Gemini-powered technologies, be sure to check out our deep dive on what’s new in Gemini 2.5, which expands on many of the principles introduced in Gemma.
Stay tuned for more updates and enhancements as Gemma 3n becomes available on broader platforms throughout the year.
