HKC 27Q320B vs HKC B4000
HKC 27Q320B — Pick the HKC 27Q320B — it leads these groups: Display 2
Tap a group name to see the proof · The scoring method is public
The short answer
HKC 27Q320B wins this comparison with a score of 63/100, ahead of HKC B4000 (60).
The main differences: Screen size (26.5 in vs 23.8 in) · Resolution (2560x1440 vs 1920x1080) · Max refresh rate (320 Hz vs 60 Hz).
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
| HKC 27Q320B | HKC B4000 | |
|---|---|---|
| Display | 46 | 37 |
| Ergonomics | 86 | 87 |
How to choose
Pick the HKC 27Q320B if you care about…
- Screen size 26.5 in +2.7 in vs 23.8 in
- Max refresh rate 320 Hz +260 Hz vs 60 Hz
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Where they differ
4 · Only rows that actually differ, with a verdict per row
| HKC 27Q320B | HKC B4000 | Where they differ | |
|---|---|---|---|
| Screen size | 26.5 in | 23.8 in | HKC 27Q320B |
| Resolution | 2560x1440 | 1920x1080 | Depends |
| Max refresh rate | 320 Hz | 60 Hz | HKC 27Q320B |
| Panel type | QD-OLED | AD-PLS | Depends |
The record
Grouped and collapsible · Tap a group to fold
Display4▾
| HKC 27Q320B | HKC B4000 | |
|---|---|---|
| Screen size | 26.5 in | 23.8 in |
| Resolution | 2560x1440 | 1920x1080 |
| Max refresh rate | 320 Hz | 60 Hz |
| Panel type | QD-OLED | AD-PLS |
Ergonomics1▾
| HKC 27Q320B | HKC B4000 | |
|---|---|---|
| Weight (with stand) | — | 3000 g |
Data sources: GSMArena
FAQ
Which is better, HKC 27Q320B or HKC B4000?
HKC 27Q320B has the higher overall score (63 vs 60) and leads in Display.
What are the main differences?
The main differences: Screen size (26.5 in vs 23.8 in) · Resolution (2560x1440 vs 1920x1080) · Max refresh rate (320 Hz vs 60 Hz).
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.
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