Lenovo Kaitian X5z G1d vs Lenovo lenovo Y400 Y400N-IFI T
Lenovo Kaitian X5z G1d — Pick the Lenovo Kaitian X5z G1d — it leads these groups: Design 1
Tap a group name to see the proof · The scoring method is public
The short answer
Lenovo Kaitian X5z G1d wins this comparison with a score of 43/100, ahead of Lenovo lenovo Y400 Y400N-IFI T (40).
The main differences: Weight (1500 g vs 2200 g).
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
| Lenovo Kaitian X5z G1d | Lenovo lenovo Y400 Y400N-IFI T | |
|---|---|---|
| Display | 37 | 40 |
| Performance | 18 | 18 |
| Battery | 55 | 51 |
| Design | 80 | 65 |
How to choose
Pick the Lenovo Kaitian X5z G1d if you care about…
- Weight 1500 g +700 g vs 2200 g
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Where they differ
1 · Only rows that actually differ, with a verdict per row
| Lenovo Kaitian X5z G1d | Lenovo lenovo Y400 Y400N-IFI T | Where they differ | |
|---|---|---|---|
| Weight | 1500 g | 2200 g | Lenovo Kaitian X5z G1d |
The record
Grouped and collapsible · Tap a group to fold
Display2▾
| Lenovo Kaitian X5z G1d | Lenovo lenovo Y400 Y400N-IFI T | |
|---|---|---|
| Screen size | 14 in | 14 in |
| Touchscreen | — | — |
Performance1▾
| Lenovo Kaitian X5z G1d | Lenovo lenovo Y400 Y400N-IFI T | |
|---|---|---|
| Processor | — | Intel Core i5 (3th Gen) |
Battery1▾
| Lenovo Kaitian X5z G1d | Lenovo lenovo Y400 Y400N-IFI T | |
|---|---|---|
| Battery capacity | 70 Wh | — |
Design2▾
| Lenovo Kaitian X5z G1d | Lenovo lenovo Y400 Y400N-IFI T | |
|---|---|---|
| Weight | 1500 g | 2200 g |
| Operating system | — | Windows 8 |
Data sources: GSMArena
FAQ
Which is better, Lenovo Kaitian X5z G1d or Lenovo lenovo Y400 Y400N-IFI T?
Lenovo Kaitian X5z G1d has the higher overall score (43 vs 40) and leads in Design.
What are the main differences?
The main differences: Weight (1500 g vs 2200 g).
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.
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