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HKC HKC 神盾25Q360B vs HKC HKC 神盾27Q560

🏆 Settled

HKC HKC 神盾27Q560 — Pick the HKC HKC 神盾27Q560 — it leads these groups: Display 1 Ergonomics 1

Tap a group name to see the proof · The scoring method is public

The short answer

HKC HKC 神盾27Q560 wins this comparison with a score of 63/100, ahead of HKC HKC 神盾25Q360B (62).

The main differences: Screen size (24.5 in vs 27 in) · Weight (with stand) (5700 g vs 613.7 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.

HKC HKC 神盾25Q360B

HKC HKC 神盾25Q360B

HKC
62score / 100
0 wins · 3 tied
🏆 Overall winner HKC HKC 神盾27Q560

HKC HKC 神盾27Q560

HKC
63score / 100
2 wins · 1 tie

At a glance

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

HKC HKC 神盾25Q360BHKC HKC 神盾27Q560
Display 46 44
Ergonomics 85 90

How to choose

Pick the HKC HKC 神盾27Q560 if you care about…

  • Screen size 27 in +2.5 in vs 24.5 in
  • Weight (with stand) 613.7 g +5086.3 g vs 5700 g

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Where they differ

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

HKC HKC 神盾25Q360BHKC HKC 神盾27Q560Where they differ
Screen size 24.5 in27 in HKC HKC 神盾27Q560
Weight (with stand) 5700 g613.7 g HKC HKC 神盾27Q560

The record

Grouped and collapsible · Tap a group to fold

Display4▾
HKC HKC 神盾25Q360BHKC HKC 神盾27Q560
Screen size 24.5 in 27 in
Resolution 2560x1440 2560x1440
Max refresh rate 360 Hz —
Panel type Fast-IPS Fast-IPS
Ergonomics1▾
HKC HKC 神盾25Q360BHKC HKC 神盾27Q560
Weight (with stand) 5700 g 613.7 g

Data sources: ZOL

FAQ

Which is better, HKC HKC 神盾25Q360B or HKC HKC 神盾27Q560?

HKC HKC 神盾27Q560 edges ahead 63 to 62 and leads in Display, Ergonomics.

What are the main differences?

The main differences: Screen size (24.5 in vs 27 in) · Weight (with stand) (5700 g vs 613.7 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.