Oppo A83 Launching in India on Saturday, Price Will Be Rs. 13,990

Oppo A83 Launching in India on Saturday, Price Will Be Rs. 13,990

Chinese smartphone manufacturer Oppo took to Twitter on Tuesday that its mid-range smartphone Oppo A83, which was unveiled in China in December, will be launched in India on January 20, Saturday. The Oppo A83 comes with features such as an 18:9 aspect ratio display and face unlock. While the company did not reveal the price of the smartphone, Gadgets 360 has learnt from its sources that the Oppo A83 price in India will be Rs. 13,990. At that price point, the Oppo A83 will be in direct competition with the likes of Xiaomi Mi A1, Honor 7X, and Samsung Galaxy On Max.

The phone was launched in China in two colour variants – Black and Champagne. A tweet posted by Oppo Mobile India shows the Champagne variant, though Gadgets 360 has learnt both colour variants will be available in India as well. The Rs. 13,990 India price of the Oppo A83 is similar to its China launch price of CNY 1,399 (roughly Rs. 13,900), though some of the specifications vary, most notably the RAM.

Oppo A83 specifications

The Oppo A83 sports a 5.7-inch full-HD+ (720×1440 pixels) LCD display with an 18:9 aspect ratio. The phone is powered by an octa-core processor – MediaTek 6763T clocked at 2.5GHz – coupled 32GB of inbuilt storage that is expandable via microSD card (up to 256GB). Additionally, while the China variant of the Oppo A83 came with 4GB of RAM, Gadgets 360 understands the smartphone will come with 3GB of RAM in India. (Update: Turns out Oppo has launched the 4GB RAM variant in India after all). The battery capacity is also rated to be 3180mAh instead of 3090mAh of the model that launched in China.

The Oppo A83 features a 13-megapixel rear camera sensor with LED flash and an 8-megapixel front camera. The phone has 4G support, a 3.5mm headphone jack, a Micro-USB port, Bluetooth 4.2, and facial recognition technology.

The phone uses a new facial recognition technology that, Oppo claims, can unlock the phone within 0.18 seconds using 128 unique feature points on the user’s face.