Redmi G25 vs Redmi G27Q
Redmi G25 — Pick the Redmi G25 — it leads these groups: Ergonomics 1
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 58/100, ahead of Redmi G27Q (57).
The main differences: Screen size (24.5 in vs 27 in) · Resolution (1920*1080 vs 2560x1440) · Max refresh rate (200 Hz vs 165 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 G25 | Redmi G27Q | |
|---|---|---|
| Display | 40 | 39 |
| Ergonomics | 90 | 86 |
How to choose
Pick the Redmi G25 if you care about…
- Max refresh rate 200 Hz +35 Hz vs 165 Hz
- Weight (with stand) 3100 g +2900 g vs 6000 g
Pick the Redmi G27Q if you care about…
- Screen size 27 in +2.5 in vs 24.5 in
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Where they differ
4 · Only rows that actually differ, with a verdict per row
| Redmi G25 | Redmi G27Q | Where they differ | |
|---|---|---|---|
| Screen size | 24.5 in | 27 in | Redmi G27Q |
| Resolution | 1920*1080 | 2560x1440 | Depends |
| Max refresh rate | 200 Hz | 165 Hz | Redmi G25 |
| Weight (with stand) | 3100 g | 6000 g | Redmi G25 |
The record
Grouped and collapsible · Tap a group to fold
Display4▾
| Redmi G25 | Redmi G27Q | |
|---|---|---|
| Screen size | 24.5 in | 27 in |
| Resolution | 1920*1080 | 2560x1440 |
| Max refresh rate | 200 Hz | 165 Hz |
| Panel type | Fast-IPS | Fast-IPS |
Ergonomics1▾
| Redmi G25 | Redmi G27Q | |
|---|---|---|
| Weight (with stand) | 3100 g | 6000 g |
Data sources: GSMArena
FAQ
Which is better, Redmi G25 or Redmi G27Q?
Redmi G25 edges ahead 58 to 57 and leads in Ergonomics. Choose Redmi G27Q instead if Screen size matters more to you.
What are the main differences?
The main differences: Screen size (24.5 in vs 27 in) · Resolution (1920*1080 vs 2560x1440) · Max refresh rate (200 Hz vs 165 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.
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