Logitech M340 Wireless Mice Collection vs Logitech M510 Wireless Mouse with Laser-grade Tracking
The short answer
Logitech M510 Wireless Mouse with Laser-grade Tracking wins this comparison with a score of 50/100, ahead of Logitech M340 Wireless Mice Collection (48).
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.
Logitech M510 Wireless Mouse with Laser-grade Tracking
LogitechAt a glance
0–100 per group, normalized within the category · Tap a group for details
| Logitech M340 Wireless Mice Collection | Logitech M510 Wireless Mouse with Laser-grade Tracking | |
|---|---|---|
| Performance | 61 | 63 |
| Design | 22 | 33 |
| Connect | 68 | 64 |
| Battery | 1 | 4 |
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The record
Grouped and collapsible · Tap a group to fold
Performance1▾
| Logitech M340 Wireless Mice Collection | Logitech M510 Wireless Mouse with Laser-grade Tracking | |
|---|---|---|
| Sensor | Optical | — |
Design1▾
| Logitech M340 Wireless Mice Collection | Logitech M510 Wireless Mouse with Laser-grade Tracking | |
|---|---|---|
| Buttons | 3 | — |
Connect1▾
| Logitech M340 Wireless Mice Collection | Logitech M510 Wireless Mouse with Laser-grade Tracking | |
|---|---|---|
| Wired | — | — |
Battery1▾
| Logitech M340 Wireless Mice Collection | Logitech M510 Wireless Mouse with Laser-grade Tracking | |
|---|---|---|
| Battery life | 18 h | — |
Data sources: Amazon
FAQ
Which is better, Logitech M340 Wireless Mice Collection or Logitech M510 Wireless Mouse with Laser-grade Tracking?
Logitech M510 Wireless Mouse with Laser-grade Tracking edges ahead 50 to 48.
What are the main differences?
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.
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.