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AOC 27B1H vs AOC 27B30H

🏆 Settled

AOC 27B30H — Pick the AOC 27B30H — it leads these groups: Ergonomics 1

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

The short answer

AOC 27B30H wins this comparison with a score of 59/100, ahead of AOC 27B1H (56).

The main differences: Resolution (1920x1080 vs 1920 x 1080 px) · Panel type (IPS vs IPS, LED-backlit+1, LCD) · Weight (with stand) (3200 g vs 2940 g).

Scores are computed from 10 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

AOC 27B1H

AOC 27B1H

AOC
56score / 100
0 wins · 8 tied ZOL Users ★ 5.0 (1755)
🏆 Overall winner AOC 27B30H

AOC 27B30H

AOC
59score / 100
1 win · 7 tied ZOL Users ★ 5.0 (3)

At a glance

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

AOC 27B1HAOC 27B30H
Display 34 44
Connectivity 29 29
Ergonomics 89 90

How to choose

Pick the AOC 27B30H if you care about…

  • Weight (with stand) 2940 g +260 g vs 3200 g

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Where they differ

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

AOC 27B1HAOC 27B30HWhere they differ
Resolution 1920x10801920 x 1080 px Depends
Panel type IPSIPS, LED-backlit+1, LCD Depends
Weight (with stand) 3200 g2940 g AOC 27B30H

The record

Grouped and collapsible · Tap a group to fold

Display6▾
AOC 27B1HAOC 27B30H
Screen size 27 in 27 in
Resolution 1920x1080 1920 x 1080 px
Max refresh rate — 100 Hz
Response time — 1 ms
Brightness — 250 cd/m²
Panel type IPS IPS, LED-backlit+1, LCD
Connectivity1▾
AOC 27B1HAOC 27B30H
Built-in speakers — —
Ergonomics3▾
AOC 27B1HAOC 27B30H
Height adjustment — ✓
VESA mounting — ✓
Weight (with stand) 3200 g 2940 g

Data sources: GSMArena

FAQ

Which is better, AOC 27B1H or AOC 27B30H?

AOC 27B30H has the higher overall score (59 vs 56) and leads in Ergonomics.

What are the main differences?

The main differences: Resolution (1920x1080 vs 1920 x 1080 px) · Panel type (IPS vs IPS, LED-backlit+1, LCD) · Weight (with stand) (3200 g vs 2940 g).

How are the scores calculated?

We normalize 10 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.