ASUS PG279Q vs ASUS TUF Gaming VG27AQ
The short answer
ASUS TUF Gaming VG27AQ wins this comparison with a score of 73/100, ahead of ASUS PG279Q (58).
The main differences: Resolution (2560x1440 vs 2560 x 1440 px) · Panel type (IPS vs LED-backlit, LCD+1, IPS).
Scores are computed from 14 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 PG279Q | ASUS TUF Gaming VG27AQ | |
|---|---|---|
| Display | 39 | 49 |
| Performance | 78 | 100 |
| Connectivity | 29 | 61 |
| Ergonomics | 88 | 85 |
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Where they differ
2 · Only rows that actually differ, with a verdict per row
| ASUS PG279Q | ASUS TUF Gaming VG27AQ | Where they differ | |
|---|---|---|---|
| Resolution | 2560x1440 | 2560 x 1440 px | Depends |
| Panel type | IPS | LED-backlit, LCD+1, IPS | Depends |
The record
Grouped and collapsible · Tap a group to fold
Display6▾
| ASUS PG279Q | ASUS TUF Gaming VG27AQ | |
|---|---|---|
| Resolution | 2560x1440 | 2560 x 1440 px |
| Max refresh rate | 165 Hz | 165 Hz |
| Response time | — | 1 ms |
| Brightness | — | 350 cd/m² |
| Panel type | IPS | LED-backlit, LCD+1, IPS |
| HDR support | — | ✓ |
Performance2▾
| ASUS PG279Q | ASUS TUF Gaming VG27AQ | |
|---|---|---|
| AMD FreeSync | — | ✓ |
| VESA Adaptive Sync | — | ✓ |
Connectivity3▾
| ASUS PG279Q | ASUS TUF Gaming VG27AQ | |
|---|---|---|
| HDMI ports | — | 2 |
| DisplayPort ports | — | 1 |
| Built-in speakers | — | ✓ |
Ergonomics3▾
| ASUS PG279Q | ASUS TUF Gaming VG27AQ | |
|---|---|---|
| Height adjustment | — | ✓ |
| VESA mounting | — | ✓ |
| Energy per 1000 h | — | 32 kWh |
Data sources: GSMArena
FAQ
Which is better, ASUS PG279Q or ASUS TUF Gaming VG27AQ?
ASUS TUF Gaming VG27AQ has the higher overall score (73 vs 58).
What are the main differences?
The main differences: Resolution (2560x1440 vs 2560 x 1440 px) · Panel type (IPS vs LED-backlit, LCD+1, IPS).
How are the scores calculated?
We normalize 14 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.