AI

Gemini Intelligence has high Android spec requirements, likely won't support Pixel 9 or Galaxy Z Fold 7

At a glance:

  • Google's Gemini Intelligence requires flagship chips, 12GB+ RAM, and AI Core/Gemini Nano v3 support
  • Current devices like Pixel 9 and Galaxy Z Fold 7 only support Gemini Nano v2, making them incompatible
  • Gemini Intelligence will debut on Pixel and Samsung Galaxy devices later this year, with Galaxy Z Fold 8 potentially first

What is Gemini Intelligence?

Google's new Gemini Intelligence push was announced this week and represents an overarching branding for the company's most powerful AI features on premium Android devices. This initiative includes enhanced capabilities like more intelligent autofill, Gboard's upgraded voice-to-text features named "Rambler" and "Create my Widget," and generative UI widgets. The "premium" designation is fitting, as the specifications required to support these features are notably high, creating a tiered approach to AI functionality across Android devices.

The introduction of Gemini Intelligence comes as Google continues to deepen its integration of AI across its product ecosystem. By creating a distinct branding for its most advanced AI features, the company aims to clearly communicate which devices can deliver the most sophisticated AI experiences. This move also reflects Google's strategy of using hardware capabilities as a differentiator in the increasingly competitive smartphone market, where AI features are becoming a key selling point for consumers.

Device Requirements for Gemini Intelligence

According to Google's specifications detailed on its Gemini Intelligence page, the new features will require a "flagship chip," 12GB or more of RAM, and support for AI Core and Gemini Nano v3 or higher. Additionally, devices must be capable of receiving at least 5 Android OS upgrades throughout their lifespan, along with 6 years of security updates delivered at least quarterly. The company also emphasizes quality requirements related to crash rates and other device performance metrics.

The requirement for Gemini Nano v3 is particularly significant, as it serves as a clear demarcation line between devices that can support the new AI features and those that cannot. Google has published a list of devices compatible with Nano v3, which includes almost exclusively 2026 releases outside of the Pixel 10 series and Oppo Find X9 series. This creates a notable gap in compatibility, as devices as recent as the Pixel 9 series and Samsung's Galaxy Z Fold 7 remain on Nano v2, disqualifying them from supporting Gemini Intelligence at launch.

Compatible and Incompatible Devices

Google has provided specific lists of devices that support Gemini Nano v3 and those that only support Nano v2. The Nano v3 list includes:

Google: Pixel 10, Pixel 10 Pro, Pixel 10 Pro XL, Pixel 10 Pro Fold Honor: Honor Magic 8 Pro iQOO: iQOO 15 Motorola: Signature OnePlus: OnePlus 15, OnePlus 15R OPPO: Find X9, Find X9 Pro, Find X8, Find X8 Pro, Reno 14 Pro 5G, Reno 15 Pro 5G, Reno 15 Pro Mini 5G, Reno 15 Pro Max 5G Realme: realme GT 7T Samsung: Galaxy S26, Galaxy S26+, Galaxy S26 Ultra Vivo: vivo X200T, vivo X200, vivo X200 Pro, vivo X300, vivo X300 Pro

Meanwhile, the Nano v2 list includes:

Google: Pixel 9, Pixel 9 Pro, Pixel 9 Pro XL, Pixel 9 Pro Fold Honor: Magic V5, Magic 7, Magic 7 Pro iQOO: iQOO 13 Motorola: Razr 60 Ultra, Razr Ultra 2025 OnePlus: OnePlus 13, OnePlus 13s OPPO: Find N5 POCO: POCO F7 Ultra, POCO F8 Pro, POCO F8 Ultra, POCO X7 Pro, POCO X8 Pro Realme: realme GT 7 Pro Samsung: Galaxy Z Fold7, Galaxy Z TriFold Vivo: vivo X200 FE, vivo T4 Ultra Xiaomi: Xiaomi 14T Pro, Xiaomi 15, Xiaomi 15T, Xiaomi 15T Pro, Xiaomi 15 Ultra, Xiaomi 17, Xiaomi 17 Ultra, Xiaomi Pad Mini

It's important to note that these sections specifically address Gemini Nano's Prompt API support rather than the model itself. This means there's some uncertainty about whether all the listed last-generation devices definitively cannot support the new requirements. Additionally, it's unclear if these devices can be updated to meet the criteria through future OS upgrades.

RAM Requirements and Future Devices

The 12GB RAM requirement for Gemini Intelligence is particularly noteworthy, especially when considering potential future devices. Recent leaks have suggested that the Pixel 11 series might reduce RAM allocations, with the base Pixel 11 potentially dropping to 8GB of RAM. If these leaks prove accurate, it would conflict with Google's stated requirements for Gemini Intelligence, potentially indicating that either the leaks are incomplete or that Google may adjust its specifications in the future.

This RAM requirement also highlights the resource-intensive nature of advanced AI features on mobile devices. As AI models become more sophisticated, they demand increasingly powerful hardware to function effectively. Google's emphasis on high RAM requirements suggests that the company is prioritizing performance and user experience, even if it means limiting compatibility to newer, more powerful devices. This approach aligns with the broader industry trend of creating tiered AI experiences based on hardware capabilities.

Launch Timeline and First Devices

Google has confirmed that Gemini Intelligence will make its debut on Pixel and Samsung Galaxy devices later this year. A recent report suggests that the Galaxy Z Fold 8 will be the first device to launch with these new features, potentially giving Samsung a brief exclusivity period before other compatible devices receive the update.

The phased rollout of Gemini Intelligence across different device manufacturers and models reflects Google's strategy of building partnerships while maintaining control over its AI ecosystem. By launching first on Samsung's foldable device, Google may be targeting a premium segment of users who are likely to adopt and showcase advanced AI features. This approach also allows Google to gather real-world usage data and make refinements before expanding to a broader range of devices.

Implications for Users and the Market

The high hardware requirements for Gemini Intelligence have significant implications for consumers and the smartphone market. For users, this means that even relatively recent devices may not support the latest AI features, potentially creating a perception of obsolescence sooner than in previous technology cycles. This could influence purchasing decisions, as consumers may prioritize devices with confirmed compatibility with future AI features.

For manufacturers, Google's specifications present both challenges and opportunities. The high requirements could spur innovation in hardware development, as companies compete to create devices that meet or exceed Google's standards. However, it also creates pressure to maintain high specifications across their product lines, which could impact pricing and market segmentation. The compatibility lists also highlight the competitive landscape, with certain manufacturers like OPPO, Vivo, and Xiaomi having multiple devices on the Nano v3 list, suggesting their upcoming releases are well-positioned for Google's AI ecosystem.

Editorial SiliconFeed is an automated feed: facts are checked against sources; copy is normalized and lightly edited for readers.

FAQ

What is Gemini Intelligence?
Gemini Intelligence is Google's new branding for its most powerful AI features on premium Android devices. It includes capabilities like intelligent autofill, Gboard's upgraded voice-to-text features ("Rambler" and "Create my Widget"), and generative UI widgets.
Which devices currently support Gemini Intelligence?
Gemini Intelligence requires devices with a flagship chip, 12GB+ RAM, and support for AI Core and Gemini Nano v3 or higher. Current devices like the Pixel 9 and Galaxy Z Fold 7 only support Gemini Nano v2, making them incompatible. The first compatible devices will likely be the Galaxy Z Fold 8 and future models like the Pixel 10 series.
Can existing devices be updated to support Gemini Intelligence?
It's unclear if devices currently supporting Gemini Nano v2 can be updated to support Nano v3 through future OS upgrades. Google hasn't specifically addressed this possibility, so compatibility may depend on both hardware capabilities and software support from manufacturers.

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