Chilkey Slice75 HE Keyboard vs 达尔优COOL68 达尔优COOL68 云海蓝- 冰刃磁轴
Chilkey Slice75 HE Keyboard — Pick the Chilkey Slice75 HE Keyboard — it leads these groups: Design 1
Tap a group name to see the proof · The scoring method is public
The short answer
Chilkey Slice75 HE Keyboard wins this comparison with a score of 67/100, ahead of 达尔优COOL68 达尔优COOL68 云海蓝- 冰刃磁轴 (55).
The main differences: Layout (QWERTY vs 暂无数据) · Key count (80 vs 68) · Switch type (Clicky vs 冰刃磁轴).
Scores are computed from 7 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 Chilkey Slice75 HE Keyboard if you care about…
- Key count 80 +12 vs 68
Best price now
Cheap alternatives
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Where they differ
3 · Only rows that actually differ, with a verdict per row
| Chilkey Slice75 HE Keyboard | 达尔优COOL68 达尔优COOL68 云海蓝- 冰刃磁轴 | Where they differ | |
|---|---|---|---|
| Layout | QWERTY | 暂无数据 | Depends |
| Key count | 80 | 68 | Chilkey Slice75 HE Keyboard |
| Switch type | Clicky | 冰刃磁轴 | Depends |
The record
Grouped and collapsible · Tap a group to fold
Design4▾
| Chilkey Slice75 HE Keyboard | 达尔优COOL68 达尔优COOL68 云海蓝- 冰刃磁轴 | |
|---|---|---|
| Layout | QWERTY | 暂无数据 |
| Hot-swappable | ✓ | — |
| Per-key RGB | ✓ | — |
| Key count | 80 | 68 |
Connect2▾
| Chilkey Slice75 HE Keyboard | 达尔优COOL68 达尔优COOL68 云海蓝- 冰刃磁轴 | |
|---|---|---|
| Wired | ✓ | — |
| 2.4GHz wireless | — | — |
Feel1▾
| Chilkey Slice75 HE Keyboard | 达尔优COOL68 达尔优COOL68 云海蓝- 冰刃磁轴 | |
|---|---|---|
| Switch type | Clicky | 冰刃磁轴 |
Data sources: Amazon · GSMArena
FAQ
Which is better, Chilkey Slice75 HE Keyboard or 达尔优COOL68 达尔优COOL68 云海蓝- 冰刃磁轴?
Chilkey Slice75 HE Keyboard has the higher overall score (67 vs 55) and leads in Design.
What are the main differences?
The main differences: Layout (QWERTY vs 暂无数据) · Key count (80 vs 68) · Switch type (Clicky vs 冰刃磁轴).
How are the scores calculated?
We normalize 7 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.