Xiaomi HyperOS 4 update rollout schedule and features

Xiaomi has officially announced the rollout schedule for its latest HyperOS 4 software update across various smartphones and tablets. The new operating system brings significant visual improvements, performance enhancements, and deeper connectivity options.

• Flagship models from 2025 and 2024 are scheduled to receive the update starting in early November.
• A wide range of recent Redmi and Poco models, alongside two tablets, are also included in the rollout list.
• The new Poco F9 Pro and F9 Ultra will have to wait until mid-November for their update.
• The rollout extends to eligible devices dating back to the Xiaomi 13 series released in 2022.

Rollout Schedule and Device Eligibility

According to the official schedule, Xiaomi's flagship smartphones from 2024 and 2025 will be the first in line to receive HyperOS 4, with the rollout kicking off in early November. They are accompanied by a diverse selection of Redmi and Poco devices released over the past couple of years, as well as company tablets.

Interestingly, the newly introduced Poco F9 Pro and F9 Ultra are slated for a mid-November update, while their predecessors like the F8 Pro and F8 Ultra appear earlier in the schedule. The update campaign covers all eligible hardware stretching back to 2022's Xiaomi 13 lineup, though budget and mid-range devices have stricter cut-off criteria.

Key Features and iOS Integration

One of the standout additions in HyperOS 4 is its deeper integration with iOS, allowing users to effortlessly share photos, files, contacts, and web pages with iPhone users. The update also introduces a fresh glass-look aesthetic, extensive UI customization options, and various performance tweaks.

What This Means for Users

For device owners within the supported ecosystem, HyperOS 4 delivers a more refined user experience, better cross-platform sharing capabilities, and modern interface elements. Users can expect the firmware notifications to arrive over-the-air in the coming weeks depending on their specific regional models.