Technology

Asus' new high-end ROG Swift PG32UCDM3 monitor leaks with a 240 Hz QD-OLED display and a BlackShield coating — new coating should offer 40% deeper black levels

Source

Tom's Hardware

Published

Dec 24, 2025

TL;DR

AI Generated

Asus accidentally revealed details about its new high-end monitor, the ROG Swift PG32UCDM3, featuring a 32" 4K QD-OLED display with a 240 Hz refresh rate. The monitor includes a BlackShield filter promising 40% deeper black levels and improved scratch resistance. Other features include Dolby Vision support, HDR10, DisplayHDR 500 True Black certification, and a 1,500,000:1 contrast ratio. The monitor is expected to use a fourth-gen LG QD-OLED panel for enhanced brightness and stability. Additionally, it offers connectivity options like USB-C power delivery, Display HDR 2.1a UHBR20, and HDMI 2.1, but its premium pricing is likely to exceed the current model's $900-$1,000 range.

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Asus' new high-end ROG Swift PG32UCDM3 monitor leaks with a 240 Hz QD-OLED display and a BlackShield coating — new coating should offer 40% deeper black levels

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Lexar regional manager says that RAM prices are expected to double by the end of the year — 'discounts' and stabilized prices result from distributors getting rid of old stock or sourcing products from other regions

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Asus' new high-end ROG Swift PG32UCDM3 monitor leaks with a 240 Hz QD-OLED display and a BlackShield coating — new coating should offer 40% deeper black levels

TL;DR

Similar Articles

Lexar regional manager says that RAM prices are expected to double by the end of the year — 'discounts' and stabilized prices result from distributors getting rid of old stock or sourcing products from other regions

Taiwanese startup FormulaV Line wants to break into US market with two new unique cases — company expects products to become available on Newegg later this year

G.Skill explains how AMD EXPO ULL unlocks additional performance — expanded profiles allow memory makers to include subtiming tweaks for the first time

Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training