Titan Army P40UG vs Asus TUF Gaming VG27AQL1A
The short answer
Titan Army P40UG wins this comparison with a score of 64/100, ahead of Asus TUF Gaming VG27AQL1A (63).
The main differences: Screen size (40 in vs 27 in) · Resolution (3440x1440 vs 2560x1440) · Max refresh rate (144 Hz vs 170 Hz).
Scores are computed from 6 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
| Titan Army P40UG | Asus TUF Gaming VG27AQL1A | |
|---|---|---|
| Display | 49 | 47 |
| Ergonomics | 86 | 84 |
How to choose
Pick the Titan Army P40UG if you care about…
- Screen size 40 in +13 in vs 27 in
Pick the Asus TUF Gaming VG27AQL1A if you care about…
- Max refresh rate 170 Hz +26 Hz vs 144 Hz
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Where they differ
3 · Only rows that actually differ, with a verdict per row
| Titan Army P40UG | Asus TUF Gaming VG27AQL1A | Where they differ | |
|---|---|---|---|
| Screen size | 40 in | 27 in | Titan Army P40UG |
| Resolution | 3440x1440 | 2560x1440 | Depends |
| Max refresh rate | 144 Hz | 170 Hz | Asus TUF Gaming VG27AQL1A |
The record
Grouped and collapsible · Tap a group to fold
Display5▾
| Titan Army P40UG | Asus TUF Gaming VG27AQL1A | |
|---|---|---|
| Screen size | 40 in | 27 in |
| Resolution | 3440x1440 | 2560x1440 |
| Max refresh rate | 144 Hz | 170 Hz |
| Response time | — | 1 ms |
| Panel type | IPS | IPS |
Ergonomics1▾
| Titan Army P40UG | Asus TUF Gaming VG27AQL1A | |
|---|---|---|
| Weight (with stand) | — | 5800 g |
Data sources: Amazon · GSMArena
FAQ
Which is better, Titan Army P40UG or Asus TUF Gaming VG27AQL1A?
Titan Army P40UG edges ahead 64 to 63. Choose Asus TUF Gaming VG27AQL1A instead if Max refresh rate matters more to you.
What are the main differences?
The main differences: Screen size (40 in vs 27 in) · Resolution (3440x1440 vs 2560x1440) · Max refresh rate (144 Hz vs 170 Hz).
How are the scores calculated?
We normalize 6 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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