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AOC Q27B35 vs AOC Q27G2

🏆 Settled

AOC Q27G2 — Pick the AOC Q27G2 — it leads these groups: Display 1

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

The short answer

AOC Q27G2 wins this comparison with a score of 60/100, ahead of AOC Q27B35 (57).

The main differences: Max refresh rate (100 Hz vs 144 Hz) · Panel type (IPS vs VA) · Weight (with stand) (3120 g vs 4100 g).

Scores are computed from 7 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

AOC Q27B35

AOC Q27B35

AOC
57score / 100
1 win · 4 tied ZOL Users ★ 4.9 (585)
🏆 Overall winner AOC Q27G2

AOC Q27G2

AOC
60score / 100
1 win · 4 tied ZOL Users ★ 4.9 (7526)

At a glance

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

AOC Q27B35AOC Q27G2
Display 36 48
Ergonomics 89 88

How to choose

Pick the AOC Q27B35 if you care about…

  • Weight (with stand) 3120 g +980 g vs 4100 g

Pick the AOC Q27G2 if you care about…

  • Max refresh rate 144 Hz +44 Hz vs 100 Hz

Best price now

Cheap alternatives

Where they differ

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

AOC Q27B35AOC Q27G2Where they differ
Max refresh rate 100 Hz144 Hz AOC Q27G2
Panel type IPSVA Depends
Weight (with stand) 3120 g4100 g AOC Q27B35

The record

Grouped and collapsible · Tap a group to fold

Display6▾
AOC Q27B35AOC Q27G2
Screen size 27 in 27 in
Resolution 2560x1440 2560x1440
Max refresh rate 100 Hz 144 Hz
Response time — 1 ms
Brightness — 350 cd/m²
Panel type IPS VA
Ergonomics1▾
AOC Q27B35AOC Q27G2
Weight (with stand) 3120 g 4100 g

Data sources: Amazon · GSMArena

FAQ

Which is better, AOC Q27B35 or AOC Q27G2?

AOC Q27G2 has the higher overall score (60 vs 57) and leads in Display. Choose AOC Q27B35 instead if Weight (with stand) matters more to you.

What are the main differences?

The main differences: Max refresh rate (100 Hz vs 144 Hz) · Panel type (IPS vs VA) · Weight (with stand) (3120 g vs 4100 g).

How are the scores calculated?

We normalize 7 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.