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Fractal Design North ATX Mid Tower Case narrowly beats the Corsair 4000D Airflow in the pc cases category, especially in display quality, scoring 73 vs 66. 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 Corsair 4000D Airflow 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 | Corsair 4000D Airflow | Fractal Design North ATX Mid Tower CaseW |
|---|---|---|
| Price | 109$✓ | 145$ |
| Weight | — | 8500g |
| Dimensions | 460 x 210 x 465 mm | 460 x 210 x 470 mm |
| Colors | Black, White | Charcoal Black Walnut |
Buy Corsair 4000D Airflow if…
Choose the Corsair 4000D Airflow if budget is your top priority — it offers competitive specs at a lower price point.
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 Corsair 4000D Airflow in the pc cases category, especially in display quality, scoring 73 vs 66. 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 45).
Corsair 4000D Airflow is cheaper at $109 vs $145 for the Fractal Design North ATX Mid Tower Case.
Choose the Corsair 4000D Airflow if budget is your top priority — it offers competitive specs at a lower price point.
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 28, 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.