Lava Yuva Star 4G alternatives
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Oppo Reno13 Pro alternatives
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Lava Yuva Star 4G

Lava Yuva Star 4G
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Unisoc SC9863A
28 nm
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5000 mAh
10W
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6.75"
720 x 1600 pixels
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13 MP
1080p@30fps
- Specs
Oppo Reno13 Pro

Oppo Reno13 Pro
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Dimensity 8350
4 nm
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5800 mAh
80W
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6.83"
1272 x 2800 pixels
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50 MP
4K@30/60fps
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Specs
4x1.6 GHz Cortex-A55
4x1.2 GHz Cortex-A55
1x3.35 GHz Cortex-A715
3x3.20 GHz Cortex-A715
4x2.20 GHz Cortex-A510
12GB 512GB (UFS 3.1)
(wide), AF
f/1.8, 24mm (wide), 1/1.56", 1.0µm, multi-directional PDAF, OIS
50 MP
f/2.8, 85mm (telephoto), PDAF, OIS, 3.5x optical zoom
8 MP
f/2.2, 15mm, 116˚ (ultrawide), 1/4.0", 1.12µm
1080p@30/60/120fps, gyro-EIS
f/2.0, 21mm (wide), AF
1080p@30/60fps, gyro-EIS
SIM1: Nano, SIM2: Nano
SIM1: Nano, SIM2: Nano
8 5G bands
n1, n3, n5, n8, n28, n41, n77, n78
In this performance comparison, the Oppo Reno13 Pro with its Mediatek Dimensity 8350 (4nm) performs better than the Lava Yuva Star 4G with the Unisoc Unisoc SC9863A (28nm), thanks to superior chipset efficiency.
Oppo Reno13 Pro offers 3 years of OS updates, whereas Lava Yuva Star 4G provides 1 years. For security updates, Oppo Reno13 Pro offers 4 years of support compared to Lava Yuva Star 4G's 2 years.
Oppo Reno13 Pro features a superior AMOLED display, while Lava Yuva Star 4G comes with an LCD panel. In terms of smoothness, Oppo Reno13 Pro offers a higher 120 Hz refresh rate, ensuring fluid scrolling and animations. Both devices deliver the same brightness level at nits. Notably, Oppo Reno13 Pro offers a higher screen resolution, resulting in sharper visuals and more detailed content.
Oppo Reno13 Pro features a larger 5800 mAh battery, potentially delivering better battery life. Oppo Reno13 Pro also supports faster wired charging at 80W, compared to 10W on Lava Yuva Star 4G. Oppo Reno13 Pro supports wireless charging at 50W, while Lava Yuva Star 4G lacks this feature.
Oppo Reno13 Pro includes an IP68 rating, while Lava Yuva Star 4G lacks an official IP rating.
- Oppo Reno13 Pro – Check price here
¹ Scores can vary even with the same chipset due to RAM, thermals, and software optimization.