ASUS VG27AQ vs ASUS VY249HGR
The short answer
ASUS VY249HGR wins this comparison with a score of 60/100, ahead of ASUS VG27AQ (58).
The main differences: Resolution (2560x1440 vs 1920 x 1080 px) · Max refresh rate (165 Hz vs 120 Hz) · Panel type (IPS vs IPS, LCD+1, LED-backlit).
Scores are computed from 9 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
| ASUS VG27AQ | ASUS VY249HGR | |
|---|---|---|
| Display | 39 | 45 |
| Connectivity | 29 | 29 |
| Ergonomics | 88 | 89 |
How to choose
Pick the ASUS VG27AQ if you care about…
- Max refresh rate 165 Hz +45 Hz vs 120 Hz
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Where they differ
3 · Only rows that actually differ, with a verdict per row
| ASUS VG27AQ | ASUS VY249HGR | Where they differ | |
|---|---|---|---|
| Resolution | 2560x1440 | 1920 x 1080 px | Depends |
| Max refresh rate | 165 Hz | 120 Hz | ASUS VG27AQ |
| Panel type | IPS | IPS, LCD+1, LED-backlit | Depends |
The record
Grouped and collapsible · Tap a group to fold
Display5▾
| ASUS VG27AQ | ASUS VY249HGR | |
|---|---|---|
| Resolution | 2560x1440 | 1920 x 1080 px |
| Max refresh rate | 165 Hz | 120 Hz |
| Response time | — | 1 ms |
| Brightness | — | 250 cd/m² |
| Panel type | IPS | IPS, LCD+1, LED-backlit |
Connectivity1▾
| ASUS VG27AQ | ASUS VY249HGR | |
|---|---|---|
| Built-in speakers | — | — |
Ergonomics3▾
| ASUS VG27AQ | ASUS VY249HGR | |
|---|---|---|
| Height adjustment | — | ✓ |
| VESA mounting | — | ✓ |
| Weight (with stand) | — | 3400 g |
Data sources: GSMArena
FAQ
Which is better, ASUS VG27AQ or ASUS VY249HGR?
ASUS VY249HGR edges ahead 60 to 58. Choose ASUS VG27AQ instead if Max refresh rate matters more to you.
What are the main differences?
The main differences: Resolution (2560x1440 vs 1920 x 1080 px) · Max refresh rate (165 Hz vs 120 Hz) · Panel type (IPS vs IPS, LCD+1, LED-backlit).
How are the scores calculated?
We normalize 9 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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