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Redmi G27Q vs Redmi G27Q 320Hz

🏆 Settled

Redmi G27Q 320Hz — Pick the Redmi G27Q 320Hz — it leads these groups: Display 1 Ergonomics 1

Tap a group name to see the proof · The scoring method is public

The short answer

Redmi G27Q 320Hz wins this comparison with a score of 63/100, ahead of Redmi G27Q (61).

The main differences: Resolution (2560x1440 vs 2560*1440) · Max refresh rate (165 Hz vs 320 Hz) · Weight (with stand) (6000 g vs 5500 g).

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.

Redmi  G27Q

Redmi G27Q

Redmi
61score / 100
0 wins · 3 tied ZOL Users ★ 4.9 (476)
🏆 Overall winner Redmi G27Q 320Hz

Redmi G27Q 320Hz

Redmi
63score / 100
2 wins · 1 tie ZOL Users ★ 0.0

At a glance

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

Redmi G27QRedmi G27Q 320Hz
Display 42 46
Ergonomics 84 89

How to choose

Pick the Redmi G27Q 320Hz if you care about…

  • Max refresh rate 320 Hz +155 Hz vs 165 Hz
  • Weight (with stand) 5500 g +500 g vs 6000 g

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Where they differ

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

Redmi G27QRedmi G27Q 320HzWhere they differ
Resolution 2560x14402560*1440 Depends
Max refresh rate 165 Hz320 Hz Redmi G27Q 320Hz
Weight (with stand) 6000 g5500 g Redmi G27Q 320Hz

The record

Grouped and collapsible · Tap a group to fold

Display4▾
Redmi G27QRedmi G27Q 320Hz
Screen size 27 in 27 in
Resolution 2560x1440 2560*1440
Max refresh rate 165 Hz 320 Hz
Panel type Fast-IPS —
Ergonomics1▾
Redmi G27QRedmi G27Q 320Hz
Weight (with stand) 6000 g 5500 g

Data sources: GSMArena

FAQ

Which is better, Redmi G27Q or Redmi G27Q 320Hz?

Redmi G27Q 320Hz edges ahead 63 to 61 and leads in Display, Ergonomics.

What are the main differences?

The main differences: Resolution (2560x1440 vs 2560*1440) · Max refresh rate (165 Hz vs 320 Hz) · Weight (with stand) (6000 g vs 5500 g).

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.