Apple 2024 MacBook Air 13″ Laptop with M3 chip: 34.46 cm (13.6″) Liquid Retina Display, 16GB Unified Memory, 512GB SSD Storage, Backlit Keyboard, 1080p FaceTime HD Camera, Touch ID- Space Grey

Apple 2024 MacBook Air 13″ Laptop with M3 chip: 34.46 cm (13.6″) Liquid Retina Display, 16GB Unified Memory, 512GB SSD Storage, Backlit Keyboard, 1080p FaceTime HD Camera, Touch ID- Space Grey

Apple 2024 MacBook Air 13″ Laptop with M3 chip: 34.46 cm (13.6″) Liquid Retina Display, 16GB Unified Memory, 512GB SSD Storage, Backlit Keyboard, 1080p FaceTime HD Camera, Touch ID- Space Grey
Price: ₹1,54,900 - ₹1,34,900.00
(as of Feb 11,2025 03:56:01 UTC – Details)




Supercharged by M3 — The blazing-fast MacBook Air with the M3 chip is a super-portable laptop that sails through work and play.
PORTABLE DESIGN — Lightweight and just over 1 cm thin, so you can take MacBook Air anywhere you go.
GET MORE DONE FASTER — The powerful 8-core CPU and up to 10-core GPU of the Apple M3 chip keep things running smoothly.
UP TO 18 HOURS OF BATTERY LIFE — Amazing, all-day battery life so you can leave the power adapter at home.
A BRILLIANT DISPLAY — The 34.46 cm (13.6″) Liquid Retina display supports 1 billion colours.
LOOK SHARP, SOUND GREAT — Everything looks and sounds amazing with a 1080p FaceTime HD camera, three mics and six speakers with Spatial Audio.
APPS FLY WITH APPLE SILICON — All your favourites, from Microsoft 365 to Adobe Creative Cloud, run lightning fast in macOS.
IF YOU LOVE IPHONE, YOU’LL LOVE MAC — MacBook Air works like magic with your other Apple devices. Start an email on your iPhone and finish it on your Mac. Send text messages from your Mac. And much more.
LEGAL DISCLAIMERS — This is a summary of the main product features. See below to learn more.

Customers say

Customers find the MacBook Air m3 to be a powerful and efficient machine with a stunning Retina display. They appreciate its great quality, reliability, and long battery life. The device is easy for them to use and provides good value for money.

AI-generated from the text of customer reviews

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