Gemini AI requires machines having at least 12GB RAM, a flagship-grade chipset, and support for Gemini Nano v3 or higher; Google states features depend on high-end Android hardware, requiring five-plus years of OS support and six years of quarterly updates, initially rolling out to recent Pixel and Galaxy devices. Pre-2026 phones likely miss the thresholds, potentially limiting access to older models.
Sources
Small print on the Gemini Intelligence site reveals that most pre-2026 phones won't get access to the software, including the Galaxy Z Fold 7, Pixel 9 series, and more.
www.inkl.comGoogle's Gemini AI, while a significant advancement for mobile artificial intelligence, requires substantial hardware resources. The AI model necessitates at least 12GB of RAM and high-end…
www.pulseaugur.comGoogle has disclosed system requirements for Gemini Intelligence, the agentic feature introduced for Android at I/O. How-To Geek reports that Google's documentation (and reporting from 9to5Google, cited by How-To Geek) requires a qualifying "flagship" chip, at least 12GB of RAM, and support for media features such as HDR and spatial audio. How-To Geek also reports Google requires at least five years of OS updates and six years of quarterly security updates, and that devices must support the...
letsdatascience.comGoogle has increased the hardware requirements for the Gemini Intelligence feature on the Android operating system. To use these AI capabilities, smartphones must now have at least 12 GB of RAM, a high-performance flagship processor, and support for the AICore system platform. This is reported by
zamin.uzSmall print on the Gemini Intelligence site reveals that most pre-2026 phones won't get access to the software, including the Galaxy Z Fold 7, Pixel 9 series, and more.
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