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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.

🏆 Overall winner Titan Army P40UG

Titan Army P40UG

Titan Army
64score / 100
1 win · 3 tied ZOL Users ★ 4.5 (547)
Asus TUF Gaming VG27AQL1A

Asus TUF Gaming VG27AQL1A

Asus
63score / 100
1 win · 3 tied ZOL Users ★ 4.9 (9621)

At a glance

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

Titan Army P40UGAsus 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

Best price now

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Where they differ

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

Titan Army P40UGAsus TUF Gaming VG27AQL1AWhere they differ
Screen size 40 in27 in Titan Army P40UG
Resolution 3440x14402560x1440 Depends
Max refresh rate 144 Hz170 Hz Asus TUF Gaming VG27AQL1A

The record

Grouped and collapsible · Tap a group to fold

Display5▾
Titan Army P40UGAsus 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 P40UGAsus 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.