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Redmi G25 vs Redmi G27Q

🏆 Settled

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.

🏆 Overall winner Redmi G25

Redmi G25

Redmi
58score / 100
2 wins · 1 tie ZOL Users ★ 0.0
Redmi  G27Q

Redmi G27Q

Redmi
57score / 100
1 win · 2 tied ZOL Users ★ 4.9 (476)

At a glance

0–100 per group, normalized within the category · Tap a group for details

Redmi G25Redmi 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

Best price now

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Where they differ

4 · Only rows that actually differ, with a verdict per row

Redmi G25Redmi G27QWhere they differ
Screen size 24.5 in27 in Redmi G27Q
Resolution 1920*10802560x1440 Depends
Max refresh rate 200 Hz165 Hz Redmi G25
Weight (with stand) 3100 g6000 g Redmi G25

The record

Grouped and collapsible · Tap a group to fold

Display4▾
Redmi G25Redmi 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 G25Redmi 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.