Redmi G24 vs Redmi G25
Redmi G25 — Pick the Redmi G25 — it leads these groups: Display 2
Tap a group name to see the proof · The scoring method is public
The short answer
Redmi G25 wins this comparison with a score of 62/100, ahead of Redmi G24 (61).
The main differences: Screen size (23.8 in vs 24.5 in) · Resolution (1920x1080 vs 1920*1080) · Max refresh rate (180 Hz vs 200 Hz).
Scores are computed from 5 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.
At a glance
0–100 per group, normalized within the category · Tap a group for details
| Redmi G24 | Redmi G25 | |
|---|---|---|
| Display | 40 | 41 |
| Ergonomics | 88 | 87 |
How to choose
Pick the Redmi G24 if you care about…
- Weight (with stand) 2700 g +400 g vs 3100 g
Pick the Redmi G25 if you care about…
- Screen size 24.5 in +0.7 in vs 23.8 in
- Max refresh rate 200 Hz +20 Hz vs 180 Hz
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Where they differ
4 · Only rows that actually differ, with a verdict per row
| Redmi G24 | Redmi G25 | Where they differ | |
|---|---|---|---|
| Screen size | 23.8 in | 24.5 in | Redmi G25 |
| Resolution | 1920x1080 | 1920*1080 | Depends |
| Max refresh rate | 180 Hz | 200 Hz | Redmi G25 |
| Weight (with stand) | 2700 g | 3100 g | Redmi G24 |
The record
Grouped and collapsible · Tap a group to fold
Display4▾
| Redmi G24 | Redmi G25 | |
|---|---|---|
| Screen size | 23.8 in | 24.5 in |
| Resolution | 1920x1080 | 1920*1080 |
| Max refresh rate | 180 Hz | 200 Hz |
| Panel type | Fast-IPS | Fast-IPS |
Ergonomics1▾
| Redmi G24 | Redmi G25 | |
|---|---|---|
| Weight (with stand) | 2700 g | 3100 g |
Data sources: GSMArena
FAQ
Which is better, Redmi G24 or Redmi G25?
Redmi G25 edges ahead 62 to 61 and leads in Display. Choose Redmi G24 instead if Weight (with stand) matters more to you.
What are the main differences?
The main differences: Screen size (23.8 in vs 24.5 in) · Resolution (1920x1080 vs 1920*1080) · Max refresh rate (180 Hz vs 200 Hz).
How are the scores calculated?
We normalize 5 public spec attributes within the category and weight them by group into a 0–100 score; missing values are inherited from spec-identical twins or imputed at the category median, so a sparse spec sheet never earns an advantage. The methodology is public.