EN
Tech →
Computing →
Audio & Video →
Smart Home →
Skincare →
Cities & Places →

VGN V98PRO V2 Crystal Wine Red Switch Sea Salt vs VGN VGN V98Pro V4 Pro

🏆 Settled

VGN VGN V98Pro V4 Pro — Pick the VGN VGN V98Pro V4 Pro — it leads these groups: Design 1

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

The short answer

VGN VGN V98Pro V4 Pro wins this comparison with a score of 69.4/100, ahead of VGN V98PRO V2 Crystal Wine Red Switch Sea Salt (69.1).

The main differences: Key count (98 vs 100).

Scores are computed from 4 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

VGN V98PRO V2 Crystal Wine Red Switch Sea Salt

VGN V98PRO V2 Crystal Wine Red Switch Sea Salt

VGN
69score / 100
0 wins · 2 tied ZOL Users ★ 4.9 (1112)
🏆 Overall winner

VGN VGN V98Pro V4 Pro

VGN
69score / 100
1 win · 1 tie

At a glance

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

VGN V98PRO V2 Crystal Wine Red Switch Sea SaltVGN VGN V98Pro V4 Pro
Design 69 71
Connect 87 87

How to choose

Pick the VGN VGN V98Pro V4 Pro if you care about…

  • Key count 100 +2 vs 98

Best price now

Cheap alternatives

Where they differ

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

VGN V98PRO V2 Crystal Wine Red Switch Sea SaltVGN VGN V98Pro V4 ProWhere they differ
Key count 98100 VGN VGN V98Pro V4 Pro

The record

Grouped and collapsible · Tap a group to fold

Design2▾
VGN V98PRO V2 Crystal Wine Red Switch Sea SaltVGN VGN V98Pro V4 Pro
Layout — 98配列
Key count 98 100
Connect1▾
VGN V98PRO V2 Crystal Wine Red Switch Sea SaltVGN VGN V98Pro V4 Pro
2.4GHz wireless ✓ ✓
Feel1▾
VGN V98PRO V2 Crystal Wine Red Switch Sea SaltVGN VGN V98Pro V4 Pro
Switch type — 奶牛Pro轴

Data sources: GSMArena

FAQ

Which is better, VGN V98PRO V2 Crystal Wine Red Switch Sea Salt or VGN VGN V98Pro V4 Pro?

VGN VGN V98Pro V4 Pro edges ahead 69 to 69 and leads in Design.

What are the main differences?

The main differences: Key count (98 vs 100).

How are the scores calculated?

We normalize 4 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.