AOC Q27P1U vs AOC Q32N2
AOC Q32N2 — Pick the AOC Q32N2 — it leads these groups: Display 2
Tap a group name to see the proof · The scoring method is public
The short answer
AOC Q32N2 wins this comparison with a score of 57/100, ahead of AOC Q27P1U (56).
The main differences: Screen size (27 in vs 31.5 in) · Max refresh rate (60 Hz vs 75 Hz) · Panel type (IPS vs VA).
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
| AOC Q27P1U | AOC Q32N2 | |
|---|---|---|
| Display | 34 | 38 |
| Ergonomics | 88 | 87 |
How to choose
Pick the AOC Q27P1U if you care about…
- Weight (with stand) 4300 g +1270 g vs 5570 g
Pick the AOC Q32N2 if you care about…
- Screen size 31.5 in +4.5 in vs 27 in
- Max refresh rate 75 Hz +15 Hz vs 60 Hz
Best price now
Cheap alternatives
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Where they differ
4 · Only rows that actually differ, with a verdict per row
| AOC Q27P1U | AOC Q32N2 | Where they differ | |
|---|---|---|---|
| Screen size | 27 in | 31.5 in | AOC Q32N2 |
| Max refresh rate | 60 Hz | 75 Hz | AOC Q32N2 |
| Panel type | IPS | VA | Depends |
| Weight (with stand) | 4300 g | 5570 g | AOC Q27P1U |
The record
Grouped and collapsible · Tap a group to fold
Display4▾
| AOC Q27P1U | AOC Q32N2 | |
|---|---|---|
| Screen size | 27 in | 31.5 in |
| Resolution | 2560x1440 | 2560x1440 |
| Max refresh rate | 60 Hz | 75 Hz |
| Panel type | IPS | VA |
Ergonomics1▾
| AOC Q27P1U | AOC Q32N2 | |
|---|---|---|
| Weight (with stand) | 4300 g | 5570 g |
Data sources: GSMArena
FAQ
Which is better, AOC Q27P1U or AOC Q32N2?
AOC Q32N2 edges ahead 57 to 56 and leads in Display. Choose AOC Q27P1U instead if Weight (with stand) matters more to you.
What are the main differences?
The main differences: Screen size (27 in vs 31.5 in) · Max refresh rate (60 Hz vs 75 Hz) · Panel type (IPS vs VA).
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.