Lava AGNI 4 Launched in India with AI Features and Premium Specs for ₹22,999

Lava has unveiled their all new Lava AGNI 4 in India at an effective price of ₹22,999 (with bank offers). This device would be packing flagship-grade hardware and built-in AI. The phone also would feature Vayu AI, a 6.67″ 1.5K 120 Hz AMOLED display, Dimensity 8350 chipset, dual 50 MP cameras, and 66 W fast charging.

Lava has also taken a bold step in the market with their all-new launch of the AGNI 4 in India, thus offering an amazing mix of high-performance hardware and a mix of AI capabilities at a competitive price. 

Thanks to an introductory bank offer, the 8 GB + 256 GB model, which is also available for ₹22,999, thus bringing flagship-grade features into the sub-₹25,000 segment.

Moreover, the AGNI 4 runs on the MediaTek Dimensity 8350 chipset, which has been especially built on a 4 nm process, which would deliver strong performance and efficient power usage. 

Lava also combines it with 8 GB of LPDDR5X RAM, and would also present users with the option to expand virtually, and super-fast UFS 4.0 storage for speedy app launches and smoother multitasking. 

To keep all the things cool, the phone also includes a large VC liquid-cooling system and even a dedicated Game Booster mode, thus making it a solid pick for gamers and power users alike.

The device also comes with a 6.67-inch 1.5K AMOLED display with a 120 Hz refresh rate and a peak brightness of around 2400 nits, which would also ensure great visibility even under bright sunlight. 

The build quality also feels premium, which comes with an aluminium alloy frame and even a durable “diamond” structure which have been especially designed to resist drops.

On the camera front, the AGNI 4 offers a 50 MP main rear sensor with the facility of optical image stabilisation, paired with an 8 MP ultra-wide lens. 

The front camera is also 50 MP, and both front and rear support 4K video recording at 60 fps.

Lava has also incorporated AI scene detection and even the feature of skin-tone optimisation, tuning the photography experience for local users.

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