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MX Master 4 Wireless Mouse vs MX Master 4 Wireless Mouse for Mac

The short answer

MX Master 4 Wireless Mouse for Mac wins this comparison with a score of 50/100, ahead of MX Master 4 Wireless Mouse (35).

The main differences: Sensor (Logitech Darkfield vs Optical) · Buttons (8 vs 7).

Scores are computed from 6 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

MX Master 4 Wireless Mouse

MX Master 4 Wireless Mouse

Logitech
35score / 100
1 win · 4 tied
🏆 Overall winner MX Master 4 Wireless Mouse for Mac

MX Master 4 Wireless Mouse for Mac

Logitech
50score / 100
0 wins · 5 tied

At a glance

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

MX Master 4 Wireless MouseMX Master 4 Wireless Mouse for Mac
Performance 9 61
Design 26 41
Connect 64 63

How to choose

Pick the MX Master 4 Wireless Mouse if you care about…

  • Buttons 8 +1 vs 7

Best price now

Cheap alternatives

Where they differ

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

MX Master 4 Wireless MouseMX Master 4 Wireless Mouse for MacWhere they differ
Sensor Logitech DarkfieldOptical Depends
Buttons 87 MX Master 4 Wireless Mouse

The record

Grouped and collapsible · Tap a group to fold

Performance3▾
MX Master 4 Wireless MouseMX Master 4 Wireless Mouse for Mac
Max DPI 8000 DPI —
Sensor Logitech Darkfield Optical
Weight 150 g —
Design2▾
MX Master 4 Wireless MouseMX Master 4 Wireless Mouse for Mac
Buttons 8 7
RGB lighting — —
Connect1▾
MX Master 4 Wireless MouseMX Master 4 Wireless Mouse for Mac
Wired — ✓

Data sources: Amazon

FAQ

Which is better, MX Master 4 Wireless Mouse or MX Master 4 Wireless Mouse for Mac?

MX Master 4 Wireless Mouse for Mac has the higher overall score (50 vs 35). Choose MX Master 4 Wireless Mouse instead if Buttons matters more to you.

What are the main differences?

The main differences: Sensor (Logitech Darkfield vs Optical) · Buttons (8 vs 7).

How are the scores calculated?

We normalize 6 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.