Corsair Vengeance DDR5-6000 C30 vs Corsair Vengeance DDR5-6200 C36
The short answer
Corsair Vengeance DDR5-6000 C30 wins this comparison with a score of 53/100, ahead of Corsair Vengeance DDR5-6200 C36 (52).
The main differences: Memory speed (6000 MT/s vs 6200 MT/s) · CAS latency (30 vs 36) · Voltage (1.4 V vs 1.3 V).
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.
At a glance
0–100 per group, normalized within the category · Tap a group for details
How to choose
Pick the Corsair Vengeance DDR5-6000 C30 if you care about…
- CAS latency 30 +6 vs 36
Pick the Corsair Vengeance DDR5-6200 C36 if you care about…
- Memory speed 6200 MT/s +200 MT/s vs 6000 MT/s
- Voltage 1.3 V +0.1 V vs 1.4 V
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Where they differ
3 · Only rows that actually differ, with a verdict per row
| Corsair Vengeance DDR5-6000 C30 | Corsair Vengeance DDR5-6200 C36 | Where they differ | |
|---|---|---|---|
| Memory speed | 6000 MT/s | 6200 MT/s | Corsair Vengeance DDR5-6200 C36 |
| CAS latency | 30 | 36 | Corsair Vengeance DDR5-6000 C30 |
| Voltage | 1.4 V | 1.3 V | Corsair Vengeance DDR5-6200 C36 |
The record
Grouped and collapsible · Tap a group to fold
Speed2▾
| Corsair Vengeance DDR5-6000 C30 | Corsair Vengeance DDR5-6200 C36 | |
|---|---|---|
| Memory speed | 6000 MT/s | 6200 MT/s |
| CAS latency | 30 | 36 |
Specs2▾
| Corsair Vengeance DDR5-6000 C30 | Corsair Vengeance DDR5-6200 C36 | |
|---|---|---|
| Module size | 16 GB | 16 GB |
| Voltage | 1.4 V | 1.3 V |
Data sources: GSMArena
FAQ
Which is better, Corsair Vengeance DDR5-6000 C30 or Corsair Vengeance DDR5-6200 C36?
Corsair Vengeance DDR5-6000 C30 edges ahead 53 to 52. Choose Corsair Vengeance DDR5-6200 C36 instead if Memory speed matters more to you.
What are the main differences?
The main differences: Memory speed (6000 MT/s vs 6200 MT/s) · CAS latency (30 vs 36) · Voltage (1.4 V vs 1.3 V).
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.
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