Soybean Panthenol Cleanser vs Soybean Panthenol Cream
Soybean Panthenol Cleanser — Pick the Soybean Panthenol Cleanser — it leads these groups: Formula 2
Tap a group name to see the proof · The scoring method is public
The short answer
Soybean Panthenol Cleanser wins this comparison with a score of 41/100, ahead of Soybean Panthenol Cream (38).
The main differences: Ingredient count (24 vs 39) · Ingredients to avoid (16 vs 25).
Scores are computed from 12 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 Soybean Panthenol Cleanser if you care about…
- Ingredient count 24 +15 vs 39
- Ingredients to avoid 16 +9 vs 25
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Where they differ
2 · Only rows that actually differ, with a verdict per row
| Soybean Panthenol Cleanser | Soybean Panthenol Cream | Where they differ | |
|---|---|---|---|
| Ingredient count | 24 | 39 | Soybean Panthenol Cleanser |
| Ingredients to avoid | 16 | 25 | Soybean Panthenol Cleanser |
The record
Grouped and collapsible · Tap a group to fold
Formula4▾
| Soybean Panthenol Cleanser | Soybean Panthenol Cream | |
|---|---|---|
| Ingredient count | 24 | 39 |
| Star ingredients | 1 | 1 |
| Ingredients to avoid | 16 | 25 |
| Fragrance-free | ✓ | ✓ |
Actives8▾
| Soybean Panthenol Cleanser | Soybean Panthenol Cream | |
|---|---|---|
| Niacinamide | — | — |
| Hyaluronic acid | — | — |
| Vitamin C | — | — |
| Ceramides | ✓ | ✓ |
| Retinoid | — | — |
| Salicylic acid | — | — |
| AHA exfoliants | ✓ | ✓ |
| Clay | — | — |
Data sources: INCIDecoder
FAQ
Which is better, Soybean Panthenol Cleanser or Soybean Panthenol Cream?
Soybean Panthenol Cleanser has the higher overall score (41 vs 38) and leads in Formula.
What are the main differences?
The main differences: Ingredient count (24 vs 39) · Ingredients to avoid (16 vs 25).
How are the scores calculated?
We normalize 12 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.