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Google Pixel Fold: images and prices

The Google Pixel Fold is said to be priced at $1,799. That's exactly the price Samsung's Galaxy Z Fold4 launched at.
Google Pixel Fold

Google’s first foldable smartphone has been in the rumor mill under more than one name for quite some time. According to a new leak today, it will be called the Pixel Fold. Apparently still in the pipeline, it’s currently one of “Google’s most mysterious projects of all time” and is rumored to launch alongside the Pixel tablet next May. The same month that appropriately coincides with Google’s annual I/O developer conference. There will be two color versions, which Google calls Chalk (aka White) and Obsidian (aka Black).

Multiple renders of the device have been leaked in both colorways. The images were created on the basis of 3D renderings. However, there is no new technical data. According to the sources, the Pixel Fold will have the “usual Pixel-like performance” and the Pixel flagship camera. A source emphasized that the device is very heavy, but did not dive into details.

Pixel Fold to cost 1.799 US-Dollar

The Pixel Fold will be priced at $1,799. That’s exactly the price at which Samsung’s Galaxy Z Fold4 was launched in the US back in August. The Fold4 is likely to become the Pixel Fold’s main competitor for the foreseeable future due to similar availability. However, the Galaxy Z Fold4 is already significantly cheaper, so it remains to be seen whether the Pixel Fold can score with other features.

The Pixel Fold’s camera module is slightly smaller than on the Google Pixel 7 and Pixel 7 Pro because the “visor” doesn’t extend to the edges. Nevertheless, the foldable is immediately recognizable as a pixel phone. There are two 9.5-megapixel selfie cameras, one in a punchhole on the front and one in the large top bezel of the main display.

The fingerprint sensor is integrated into the power button and there are two speakers – one on top and one on the bottom. There is no mention of the chipset, but the Pixel Fold is almost certainly powered by a Tensor CPU.


Stefan Andres
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