It’s rare that you’ll find discounts on Apple products through the company’s own retail channels, but other storefronts are often happy to slash prices on such wares. You can find early Black Friday deals on a bunch of Apple products, including MacBooks. The M3 MacBook Air with 16GB of RAM has dropped to its lowest price to date at Amazon. The laptop will run you $899, which is $200 off the list price.
This is a 13-inch MacBook Air with 256GB of storage. Other configurations with more storage space are on sale too. One with 8GB of RAM and a 512GB SSD is $300 off at $999, though we’d recommend having at least 16GB of memory. It’s not possible to upgrade the RAM in an Apple Silicon MacBook, but you can always add external storage if need be.
To that end, you can snag a 13-inch M3 MBA with 16GB of RAM and 512GB of built-in storage for $1,099. If a model with 24GB and the same SSD is what you’re looking for, you can snap one up for $1,299. Both are $200 off.
Apple just released its first M4-powered Macs, but it has yet to slot the latest chip into the MacBook Air. To that end, we reckon the 13-inch M3 MacBook Air is the best laptop for most people. It’s our pick for the best laptop for college students too.
The 13-inch MBA’s blend of power and portability makes it a potent choice and we gave it a score of 90 in our review. It delivers fast performance and has a killer display. The design is sleek and sturdy and it sounds great thanks to a quad-speaker array. We like the trackpad and keyboard as well, while the upgrade to Wi-Fi 6E connectivity is a definite plus. Our main quibble is that the USB-C ports are on the same side of the unit as the one for the charger — having even one USB-C on the right side would be handy. But that’s a minor complaint about an otherwise excellent laptop.
Check out all of the latest Black Friday and Cyber Monday deals here.
This article originally appeared on Engadget at https://www.engadget.com/deals/the-m3-macbook-air-with-16gb-of-ram-is-on-sale-for-899-ahead-of-black-friday-154922025.html?src=rss
