Samsung S24E360HL vs Samsung S27DG610SC
Samsung S27DG610SC — Pick the Samsung S27DG610SC — it leads these groups: Display 1 Ergonomics 1
Tap a group name to see the proof · The scoring method is public
The short answer
Samsung S27DG610SC wins this comparison with a score of 62/100, ahead of Samsung S24E360HL (60).
The main differences: Screen size (23.6 in vs 27 in) · Resolution (1920x1080 vs 2560x1440) · Panel type (PLS vs OLED).
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.
At a glance
0–100 per group, normalized within the category · Tap a group for details
| Samsung S24E360HL | Samsung S27DG610SC | |
|---|---|---|
| Display | 37 | 44 |
| Ergonomics | 85 | 87 |
How to choose
Pick the Samsung S27DG610SC if you care about…
- Screen size 27 in +3.4 in vs 23.6 in
- Weight (with stand) 3800 g +1510 g vs 5310 g
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Where they differ
4 · Only rows that actually differ, with a verdict per row
| Samsung S24E360HL | Samsung S27DG610SC | Where they differ | |
|---|---|---|---|
| Screen size | 23.6 in | 27 in | Samsung S27DG610SC |
| Resolution | 1920x1080 | 2560x1440 | Depends |
| Panel type | PLS | OLED | Depends |
| Weight (with stand) | 5310 g | 3800 g | Samsung S27DG610SC |
The record
Grouped and collapsible · Tap a group to fold
Display4▾
| Samsung S24E360HL | Samsung S27DG610SC | |
|---|---|---|
| Screen size | 23.6 in | 27 in |
| Resolution | 1920x1080 | 2560x1440 |
| Max refresh rate | — | 240 Hz |
| Panel type | PLS | OLED |
Ergonomics1▾
| Samsung S24E360HL | Samsung S27DG610SC | |
|---|---|---|
| Weight (with stand) | 5310 g | 3800 g |
Data sources: GSMArena
FAQ
Which is better, Samsung S24E360HL or Samsung S27DG610SC?
Samsung S27DG610SC edges ahead 62 to 60 and leads in Display, Ergonomics.
What are the main differences?
The main differences: Screen size (23.6 in vs 27 in) · Resolution (1920x1080 vs 2560x1440) · Panel type (PLS vs OLED).
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.