Redmi 13 alternatives
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Samsung Galaxy S23 FE alternatives
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Samsung Galaxy S23 FE

Samsung Galaxy S23 FE
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Exynos 2200
4 nm
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4500 mAh
25W
-
6.4"
1080 x 2340 pixels
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50 MP
8K@24fps
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Specs
2x2.2 GHz Cortex-A78
6x2.0 GHz Cortex-A55
1x2.8 GHz Cortex-X2
3x2.50 GHz Cortex-A710
4x1.8 GHz Cortex-A510
8GB 128GB (UFS 2.2)
8GB 256GB (UFS 2.2)
8GB 256GB
1x3.00 GHz Cortex-X2
3x2.50 GHz Cortex-A710
4x1.80 GHz Cortex-A510
8GB 256GB
f/1.8, (wide), 0.64µm, PDAF
2 MP
(depth)
f/1.8, 24mm (wide), dual pixel PDAF, OIS
8 MP
f/2.4, 75mm (telephoto), PDAF, OIS, 3x optical zoom
12 MP
f/2.2, 123˚ (ultrawide)
4K@30/60fps
1080p@30/60/120/240fps
720p@960fps
f/2.5, (wide)
f/2.4, 26mm (wide)
1080p@30/60fps
SIM1: Nano, SIM2: Nano (Hybrid)
SIM1: Nano, SIM2: eSIM
7 5G bands
n1, n3, n5, n8, n28, n40, n78
14 5G bands
n1, n2, n3, n5, n7, n8, n20, n28, n38, n40, n41, n66, n77, n78
In this performance comparison, the Samsung Galaxy S23 FE with its Exynos 2200 (4nm) performs better than the Redmi 13 with the Qualcomm Snapdragon 4 Gen 2 AE (4nm), thanks to superior chipset efficiency.
Samsung Galaxy S23 FE offers 4 years of OS updates, whereas Redmi 13 provides 2 years. For security updates, Samsung Galaxy S23 FE offers 5 years of support compared to Redmi 13's 3 years.
Samsung Galaxy S23 FE features a superior AMOLED display, while Redmi 13 comes with an LCD panel. Both smartphones offer the same 120 Hz refresh rate. Samsung Galaxy S23 FE also boasts a brighter screen with 1450 nits of peak brightness, enhancing outdoor visibility. Both phones have the same screen resolution.
Redmi 13 comes with a larger 5030 mAh battery, which may offer longer usage on a single charge. Redmi 13 also supports faster wired charging at 33W, compared to 25W on Samsung Galaxy S23 FE. Samsung Galaxy S23 FE supports wireless charging at 15W, while Redmi 13 lacks this feature.
Samsung Galaxy S23 FE offers better protection against water and dust with an IP68 rating.
- Redmi 13 – Check price here
- Samsung Galaxy S23 FE – Check price here
¹ Scores can vary even with the same chipset due to RAM, thermals, and software optimization.