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Philips 24M1N5500Z vs Philips 27B2N3500G

The short answer

Philips 27B2N3500G wins this comparison with a score of 61.3/100, ahead of Philips 24M1N5500Z (61.1).

The main differences: Screen size (23.8 in vs 27 in) · Max refresh rate (165 Hz vs 144 Hz) · Weight (with stand) (3000 g vs 3980 g).

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.

Philips 24M1N5500Z

Philips 24M1N5500Z

Philips
61score / 100
2 wins · 1 tie ZOL Users ★ 5.0 (875)
🏆 Overall winner Philips 27B2N3500G

Philips 27B2N3500G

Philips
61score / 100
1 win · 2 tied ZOL Users ★ 0.0

At a glance

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

Philips 24M1N5500ZPhilips 27B2N3500G
Display 40 41
Ergonomics 87 86

How to choose

Pick the Philips 24M1N5500Z if you care about…

  • Max refresh rate 165 Hz +21 Hz vs 144 Hz
  • Weight (with stand) 3000 g +980 g vs 3980 g

Pick the Philips 27B2N3500G if you care about…

  • Screen size 27 in +3.2 in vs 23.8 in

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Where they differ

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

Philips 24M1N5500ZPhilips 27B2N3500GWhere they differ
Screen size 23.8 in27 in Philips 27B2N3500G
Max refresh rate 165 Hz144 Hz Philips 24M1N5500Z
Weight (with stand) 3000 g3980 g Philips 24M1N5500Z

The record

Grouped and collapsible · Tap a group to fold

Display4▾
Philips 24M1N5500ZPhilips 27B2N3500G
Screen size 23.8 in 27 in
Resolution 2560x1440 2560x1440
Max refresh rate 165 Hz 144 Hz
Panel type IPS IPS
Ergonomics1▾
Philips 24M1N5500ZPhilips 27B2N3500G
Weight (with stand) 3000 g 3980 g

Data sources: GSMArena

FAQ

Which is better, Philips 24M1N5500Z or Philips 27B2N3500G?

Philips 27B2N3500G edges ahead 61 to 61. Choose Philips 24M1N5500Z instead if Max refresh rate matters more to you.

What are the main differences?

The main differences: Screen size (23.8 in vs 27 in) · Max refresh rate (165 Hz vs 144 Hz) · Weight (with stand) (3000 g vs 3980 g).

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.