Gemini Nano is Google smallest and most efficient AI model, designed to run natively on Android devices without requiring cloud connectivity. Unlike Gemini Pro or Flash which run on Google cloud infrastructure, Nano executes AI inference directly on the user device, delivering zero network latency, no API costs, and strong privacy guarantees because user data never leaves the device. ¹⁾

Gemini Nano consists of two variants optimized for different device capabilities:

Both variants use 4-bit quantization and are created through distillation from larger Gemini models, allowing them to inherit advanced capabilities while fitting mobile hardware constraints. ²⁾

The model runs within Android AICore system service, which leverages device hardware to enable low inference latency and automatically keeps the model updated. ³⁾

On Pixel 10 Pro devices, the latest Gemini Nano v3 achieves:

• 940 tokens per second for text-to-text processing
• 0.6 seconds for image-to-text encoding
• 87 percent of basic AI tasks run locally without cloud calls
• 40 percent less battery usage compared to cloud-based alternatives

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Text Processing:

• Summarization of documents up to 3,000 words into bullet points (English, Japanese, Korean)
• Smart replies with context-aware suggestions in Google Messages, WhatsApp, Line, and KakaoTalk via Gboard
• Text rewriting with tone adjustment (formal, casual, excited)
• Proofreading and text correction

Multimodal Capabilities (Pixel 9 and later):

• Image description and alt-text generation for accessibility through TalkBack
• On-device speech recognition powering Pixel Recorder and Call Notes
• Real-time audio analysis for features like Scam Detection

Pixel-Exclusive Features:

• Pixel Screenshots: AI-powered screenshot search
• Call Notes: Automatic transcription and summarization
• Scam Detection: Real-time fraud detection during calls
• Pixel Recorder Summaries: 3-bullet summaries of recordings over 30 minutes

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Devices require sophisticated chips such as Google Tensor G4 or later, Qualcomm Snapdragon 8 Gen 3, or equivalent processors to support Gemini Nano. ⁶⁾

• Full on-device processing: No internet connection required
• Complete offline operation: AI features function without any network connectivity
• Data never leaves the device: Inherent privacy safeguards for sensitive information
• No per-request charges: Free for users with supported devices
• Blocks third-party data scraping: By design, no external data access

These characteristics make Gemini Nano ideal for processing sensitive data like personal messages, health information, and confidential documents. ⁷⁾

Developers can integrate Gemini Nano through ML Kit GenAI APIs, which provide high-level interfaces for summarization, proofreading, rewriting, image description, speech recognition, and a low-level Prompt API for flexibility. ⁸⁾

The Android AI Edge SDK provides access to Gemini Nano APIs without additional subscription costs. Third-party app support is expanding, though platform-native apps like Gboard, Recorder, and TalkBack already leverage Nano capabilities. ⁹⁾

• Pixel 10 Release: Gemini Nano v3 launched with substantially improved performance and full multimodal support
• Enhanced ML Kit GenAI APIs: New APIs for easier implementation of summarization, proofreading, rewriting, and image description
• Performance gains: Text-to-text processing reaching 940 tokens per second on Pixel 10 Pro
• Chrome integration: CPU support for Gemini Nano rolling out in Chrome 140, expanding on-device AI beyond Android ¹⁰⁾
• Android 2026 integration: Gemini Nano ships baked into Android system-level AICore with 2.8x faster response times versus 2025 hybrid models ¹¹⁾

• Gemini Flash, Thinking, and Pro
• ChatGPT, Claude, and Gemini Comparison
• Google AI Video Models
• Google VEO 3