Razer Razer CobraCobra vs Razer Razer DeathAdderV3Pro
Razer Razer DeathAdderV3Pro — Pick the Razer Razer DeathAdderV3Pro — it leads these groups: Connect 1
Tap a group name to see the proof · The scoring method is public
The short answer
Razer Razer DeathAdderV3Pro wins this comparison with a score of 48/100, ahead of Razer Razer CobraCobra (44).
The main differences: 2.4GHz wireless (— vs ✓).
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.
At a glance
0–100 per group, normalized within the category · Tap a group for details
| Razer Razer CobraCobra | Razer Razer DeathAdderV3Pro | |
|---|---|---|
| Performance | 63 | 63 |
| Design | 33 | 18 |
| Connect | 32 | 64 |
How to choose
Pick the Razer Razer DeathAdderV3Pro if you care about…
- 2.4GHz wireless ✓ vs —
Best price now
Cheap alternatives
Razer Viper V3 Pro
Logitech G Pro X Superlight 2
Zowie EC2-CW
Glorious Model I 2
Pulsar X2V2 Mini
Logitech MX Master 3S
Where they differ
1 · Only rows that actually differ, with a verdict per row
| Razer Razer CobraCobra | Razer Razer DeathAdderV3Pro | Where they differ | |
|---|---|---|---|
| 2.4GHz wireless | — | ✓ | Razer Razer DeathAdderV3Pro |
The record
Grouped and collapsible · Tap a group to fold
Performance3▾
| Razer Razer CobraCobra | Razer Razer DeathAdderV3Pro | |
|---|---|---|
| Max DPI | — | 30000 DPI |
| Sensor | — | Razer Focus Pro 30K |
| Weight | — | 63 g |
Design2▾
| Razer Razer CobraCobra | Razer Razer DeathAdderV3Pro | |
|---|---|---|
| Buttons | — | 6 |
| RGB lighting | — | — |
Connect1▾
| Razer Razer CobraCobra | Razer Razer DeathAdderV3Pro | |
|---|---|---|
| 2.4GHz wireless | — | ✓ |
Data sources: GSMArena
FAQ
Which is better, Razer Razer CobraCobra or Razer Razer DeathAdderV3Pro?
Razer Razer DeathAdderV3Pro has the higher overall score (48 vs 44) and leads in Connect.
What are the main differences?
The main differences: 2.4GHz wireless (— vs ✓).
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.