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Lian Li ATX Mid-Tower PC Case narrowly beats the Lian Li O11 Dynamic EVO in the pc cases category, especially in value ($82.49 vs $169), scoring 77 vs 73. If you want the better overall pc cases, Lian Li ATX Mid-Tower PC Case is the recommended choice.
Picking Lian Li ATX Mid-Tower PC Case over Lian Li O11 Dynamic EVO means trading these off.
Nothing meaningful — Lian Li ATX Mid-Tower PC Case matches or beats Lian Li O11 Dynamic EVO on every measured spec.
Scores are relative within the pc casescategory. Percentages show each dimension's weight in the overall score. A difference of less than 0.5 points is considered a tie.
✓ Pros
✗ Cons
✓ Pros
✗ Cons
| Spec | Lian Li ATX Mid-Tower PC CaseW | Lian Li O11 Dynamic EVO |
|---|---|---|
| Price | 82.49$✓ | 169$ |
| Weight | 8500g | — |
| Dimensions | 460 x 210 x 470 mm | 445 x 272 x 466 mm |
| Colors | Black | Black, White |
Buy Lian Li ATX Mid-Tower PC Case if…
Buy the Lian Li ATX Mid-Tower PC Case if you want the best overall value in this comparison. It scores higher overall and is the recommended choice for most buyers.
Buy Lian Li O11 Dynamic EVO if…
The Lian Li O11 Dynamic EVO is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
Lian Li ATX Mid-Tower PC Case narrowly beats the Lian Li O11 Dynamic EVO in the pc cases category, especially in value ($82.49 vs $169), scoring 77 vs 73. If you want the better overall pc cases, Lian Li ATX Mid-Tower PC Case is the recommended choice.
Yes, Lian Li ATX Mid-Tower PC Case scores higher overall (74 vs 71).
Lian Li ATX Mid-Tower PC Case is cheaper at $82.49 vs $169 for the Lian Li O11 Dynamic EVO.
Buy the Lian Li ATX Mid-Tower PC Case if you want the best overall value in this comparison. It scores higher overall and is the recommended choice for most buyers.
The Lian Li O11 Dynamic EVO is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
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.