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Fractal Design North ATX Mid Tower Case clearly outperforms the Cooler Master TD500 Mesh in the pc cases category, especially in design, scoring 73 vs 56. 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 Cooler Master TD500 Mesh 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 | Cooler Master TD500 Mesh | Fractal Design North ATX Mid Tower CaseW |
|---|---|---|
| Price | 109$✓ | 145$ |
| Weight | — | 8500g |
| Dimensions | 470 x 210 x 460 mm | 460 x 210 x 470 mm |
| Colors | Black, White | Charcoal Black Walnut |
Buy Cooler Master TD500 Mesh if…
Choose the Cooler Master TD500 Mesh 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 clearly outperforms the Cooler Master TD500 Mesh in the pc cases category, especially in design, scoring 73 vs 56. 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 25).
Cooler Master TD500 Mesh is cheaper at $109 vs $145 for the Fractal Design North ATX Mid Tower Case.
Choose the Cooler Master TD500 Mesh 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 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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