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G-Wolves HTX Mini Asym 8K Wireless Gaming Mouse ~25.8g (Pre-order) vs G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g

The short answer

G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g wins this comparison with a score of 49.7/100, ahead of G-Wolves HTX Mini Asym 8K Wireless Gaming Mouse ~25.8g (Pre-order) (49.5).

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.

🏆 Overall winner G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g

G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g

G-Wolves
50score / 100
0 wins · 4 tied

At a glance

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

G-Wolves HTX Mini Asym 8K Wireless Gaming Mouse ~25.8g (Pre-order)G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g
Performance 63 66
Design 33 33
Connect 64 63
Battery 4 2

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The record

Grouped and collapsible · Tap a group to fold

Performance2▾
G-Wolves HTX Mini Asym 8K Wireless Gaming Mouse ~25.8g (Pre-order)G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g
Sensor — Optical
Weight — 39 g
Design1▾
G-Wolves HTX Mini Asym 8K Wireless Gaming Mouse ~25.8g (Pre-order)G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g
Buttons — 6
Connect1▾
G-Wolves HTX Mini Asym 8K Wireless Gaming Mouse ~25.8g (Pre-order)G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g
Wired — ✓
Battery1▾
G-Wolves HTX Mini Asym 8K Wireless Gaming Mouse ~25.8g (Pre-order)G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g
Battery life — 40 h

Data sources: Amazon

FAQ

Which is better, G-Wolves HTX Mini Asym 8K Wireless Gaming Mouse ~25.8g (Pre-order) or G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g?

G-Wolves HTX Ultra 8K Wireless Gaming Mouse ~32.1g edges ahead 50 to 50.

What are the main differences?

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.

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.