Amazon now offers Apple’s 13-inch M1 MacBook Air 256GB for $799.99 shipped. Down from the usual $999 you’d typically pay, this is the best value in Apple’s current MacBook lineup that is only made more enticing by today’s $199 discount. It comes within $1 of the all-time low last set over Amazon’s fall Prime Day sale. While it isn’t that all-new version of Apple’s most portable MacBook, there is still something to be said for just how good of a value the original M1 MacBook Air still is, especially with as steep of a discount attached as you’ll find. Centered around a 13-inch Retina display with Apple Silicon under the hood, there’s also a pair of Thunderbolt ports supplemented by Wi-Fi 6 as well as 256GB of storage and 8GB of RAM. Get a better idea of its performance in our hands-on review, and then head below for more.
If you’re looking for more insight on why the M1 MacBook Air is worth considering over its newer M2 counterpart, we took a more in-depth look at how the two stack up over on 9to5Mac. Despite all of the love and fanfare around the newer version, our main takeaway was just how compelling the M1 MacBook Air still is for most users, especially those who want a more affordable package that’s even more portable than its predecessor. Especially at $299 below the M2 model.
We’re building up to the holiday shopping season, and in the meantime, all of the best deals are up for grabs in our Apple guide. Leading the way right now, Apple’s just-released 11-inch M2 iPad Pro is on sale for the very first time and dropping down to $749. Delivering $50 in savings, this is yet another one of the new releases that Apple revealed last month in its October event, and delivers the most capable iPadOS experience to date.
Apple 13-inch M1 MacBook Air features:
The Apple 13″ MacBook Air features Apple’s first chip designed specifically for Mac. The Apple M1 integrates the CPU, GPU, Neural Engine, I/O, and more into a single system on a chip (SoC). Tackle your projects with the fast 8-Core CPU and take on graphics-intensive apps and games with the 8-core GPU. Accelerate machine learning tasks with the 16-core Neural Engine.
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