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Fractal Design North ATX Mid Tower Case narrowly beats the Lian Li Lancool III in the pc cases category, especially in performance, scoring 73 vs 67. If you want the better overall pc cases, Fractal Design North ATX Mid Tower Case is the recommended choice.
Picking Fractal Design North ATX Mid Tower Case over Lian Li Lancool III means trading these off.
Specs are roughly matched — winner decided on overall scoring, not a specific spec advantage.
Scores are relative within the pc casescategory. Percentages show each dimension's weight in the overall score. A difference of less than 0.5 points is considered a tie.
✓ Pros
✗ Cons
✓ Pros
✗ Cons
| Spec | Lian Li Lancool III | Fractal Design North ATX Mid Tower CaseW |
|---|---|---|
| Price | 139$✓ | 145$ |
| Weight | — | 8500g |
| Dimensions | 470 x 230 x 490 mm | 460 x 210 x 470 mm |
| Colors | Black, White | Charcoal Black Walnut |
Buy Lian Li Lancool III if…
The Lian Li Lancool III is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
Buy Fractal Design North ATX Mid Tower Case if…
Buy the Fractal Design North ATX Mid Tower Case if you want the best performance in this comparison. It scores higher overall and is the recommended choice for most buyers.
Fractal Design North ATX Mid Tower Case narrowly beats the Lian Li Lancool III in the pc cases category, especially in performance, scoring 73 vs 67. If you want the better overall pc cases, Fractal Design North ATX Mid Tower Case is the recommended choice.
No, Fractal Design North ATX Mid Tower Case scores higher (74 vs 57).
Lian Li Lancool III is cheaper at $139 vs $145 for the Fractal Design North ATX Mid Tower Case.
The Lian Li Lancool III is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
Buy the Fractal Design North ATX Mid Tower Case if you want the best performance in this comparison. It scores higher overall and is the recommended choice for most buyers.
Reviewed by VersusMatrix Editorial Team
Last updated: April 25, 2026
Methodology: AI-powered analysis of technical specifications from manufacturer data. Scores are calculated by comparing products across multiple dimensions and normalized relative to the full category database. Our editorial process is independent and not influenced by affiliate partnerships.
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