Many Premium Android Phones May Miss Gemini Intelligence: Here’s Why

Google’s new Gemini Intelligence promises a smarter Android experience, but strict hardware and software requirements mean even some premium smartphones may not make the cut.

Gemini Intelligence Rollout Limited to Select Devices

Google has announced that its next-generation AI system, Gemini Intelligence, will only be available on a select group of high-end Android smartphones. While the feature marks a significant leap in on-device artificial intelligence, it also introduces stringent eligibility requirements.

This means many mid-range devices, budget phones, and even some older flagship smartphones—including previous generations of Pixel and Galaxy S series may not support the new AI framework.

The limitation primarily stems from the need for advanced processing power, improved memory capacity, and deep software-level integration.

Strict Eligibility Criteria for Gemini Intelligence

To support Gemini Intelligence, Android devices must meet a comprehensive set of hardware and software benchmarks defined by Google. These requirements ensure that the AI system can operate efficiently and securely on-device.

Key Requirements Include:

• Support for Gemini Nano v3 or later via Android’s AICore system
• Minimum of 12GB RAM
• A flagship-grade system-on-chip (SoC)
• Advanced media capabilities such as HDR, spatial audio, and low-light processing
• Support for gaming driver updates
• At least five major Android OS upgrades
• Six years of quarterly security updates
• Compliance with Android 17 quality certification
• Virtualisation features like AVF and pKVM
• Field reliability benchmarks, including crash-rate targets for 2026

These requirements significantly raise the bar, making Gemini Intelligence one of the most demanding Android features to date.

Why Older Flagships May Be Left Out

Many smartphones launched in recent years, including premium models, currently support Gemini Nano v2 rather than the newer v3 version. This alone can make them incompatible with Gemini Intelligence.

Additionally, several older flagship devices may lack:

• Sufficient RAM (12GB or higher)
• Next-generation AI processing capabilities
• Required system-level virtualization and security features

As a result, even devices that were considered top-tier just a year or two ago might not qualify for the full Gemini Intelligence experience.

Devices Supporting Gemini Nano v3 Prompt API

Google’s developer documentation lists several devices that support the Gemini Nano v3 Prompt API. However, it is important to note that API support does not guarantee full compatibility with Gemini Intelligence.

Supported Brands and Models Include:

• Google Pixel Series:
  Google Pixel 10, Pixel 10 Pro, Pixel 10 Pro XL, Pixel 10 Pro Fold
• Samsung Galaxy Series:
  Samsung Galaxy S26 Ultra, Galaxy S26, Galaxy S26+
• OPPO Devices:
  Find X9 series, Find X8 series, Reno 14 Pro 5G, Reno 15 lineup
• Vivo Smartphones:
  Vivo X300 series, X200 lineup
• Other Brands:
  OnePlus 15 series, iQOO 15, Motorola Signature, Realme GT 7T, Lenovo tablets, Honor Magic 8 Pro

Despite this list, full Gemini Intelligence support will still depend on whether these devices meet all additional criteria.

Hardware Requirements: The Role of Chipsets

Although Google has not officially specified compatible processors, industry expectations suggest that only top-tier chipsets will qualify.

These may include:

• Qualcomm Snapdragon 8-series processors
• MediaTek Dimensity 9000-series chips
• Apple’s A-series Pro and Max chips (for cross-platform AI comparison)

Such processors are designed to handle advanced AI workloads locally, which is critical for delivering fast and private AI experiences without heavy reliance on cloud computing.

What is Gemini Nano v3?

Gemini Nano v3 is Google’s latest on-device AI model built to enable multimodal capabilities directly on smartphones.

Unlike earlier versions, it is designed to handle more complex tasks efficiently while maintaining low latency and enhanced privacy.

Core Capabilities Include:

• Text summarisation
• Proofreading and rewriting
• Image description
• Prompt-based AI interactions

The model operates through Android’s AICore system service, allowing it to process data locally on the device rather than sending it to cloud servers. This not only improves speed but also enhances user privacy.

What is Gemini Intelligence?

Gemini Intelligence represents Google’s broader vision of integrating AI deeply into the Android ecosystem. It is not just a feature but a system-wide framework designed to make devices more context-aware and proactive.

The system can understand on-screen content, interact across apps, and assist users in completing tasks seamlessly.

Key Features Include:

• Multi-step actions across apps
• Context-aware assistance within Chrome
• AI-powered Autofill with “Personal Intelligence”
• Enhanced voice typing with real-time corrections
• AI-generated widgets using natural language prompts

This approach transforms Gemini from a chatbot into a full-fledged digital assistant embedded across the operating system.

How Gemini Intelligence Enhances User Experience

Google is positioning Gemini Intelligence as a tool that simplifies everyday digital interactions. Instead of switching between apps, users can perform complex tasks directly from their screen context.

For example:

• Creating shopping carts from a grocery list
• Sharing event details directly within conversations
• Extracting information from Gmail without opening the app

Gemini’s integration with Chrome further enhances productivity by enabling webpage summarisation, research assistance, and even task automation such as booking services.

Advancements in AI Features

Google has also introduced several innovative features under the Gemini Intelligence umbrella:

• Rambler Voice Typing: Cleans up speech in real time, removes filler words, and supports multilingual input (e.g., English and Hindi switching).
• Cross-Device Continuity: Allows tasks to move seamlessly across phones, laptops, smartwatches, and cars.
• Create My Widget: Lets users generate custom widgets using simple text prompts.

These features highlight Google’s ambition to create a unified AI ecosystem across devices.

Uncertainty Around Future Compatibility

Despite the current restrictions, Google has not clarified whether older devices with Gemini Nano v2 will eventually gain partial support through updates.

There is also uncertainty about whether broader Gemini Nano v3 capabilities could be rolled out via Android updates or system-level enhancements in the future.

For now, users may need to upgrade to newer flagship devices to fully experience Gemini Intelligence.

Conclusion

Gemini Intelligence marks a significant step forward in Android’s AI evolution, offering a more personalised, context-aware, and efficient user experience. However, its demanding hardware and software requirements mean that availability will remain limited to a select group of premium devices.

As AI continues to evolve, the gap between high-end and mid-range smartphones may widen, with cutting-edge features increasingly reserved for top-tier hardware. For users, this signals a shift toward more powerful devices being essential to access the future of mobile computing.