Prices may vary · We may earn a commission on purchases. Learn more
Western Digital Black SN770 clearly outperforms the Fanxiang M.2 SSD PCIe Gen3 in the ssd storage category, especially in value ($129 vs $695.95), scoring 41 vs 10. If you want the better overall ssd storage, Western Digital Black SN770 is the recommended choice.
Picking Western Digital Black SN770 over Fanxiang M.2 SSD PCIe Gen3 means trading these off.
Nothing meaningful — specs are roughly matched
Scores are relative within the ssd storagecategory. Percentages show each dimension's weight in the overall score. A difference of less than 0.5 points is considered a tie.
✗ Cons
✓ Pros
| Spec | Fanxiang M.2 SSD PCIe Gen3 | Western Digital Black SN770W |
|---|---|---|
| Price | 695.95$ | 129$✓ |
| Storage | 256GB | — |
| Weight | 8g | — |
| Dimensions | 80 x 22 x 3.5 mm | — |
Buy Fanxiang M.2 SSD PCIe Gen3 if…
The Fanxiang M.2 SSD PCIe Gen3 is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
Buy Western Digital Black SN770 if…
Buy the Western Digital Black SN770 if you want the best performance in this comparison. It scores higher overall and is the recommended choice for most buyers.
Western Digital Black SN770 clearly outperforms the Fanxiang M.2 SSD PCIe Gen3 in the ssd storage category, especially in value ($129 vs $695.95), scoring 41 vs 10. If you want the better overall ssd storage, Western Digital Black SN770 is the recommended choice.
No, Western Digital Black SN770 scores higher (51 vs 48).
Western Digital Black SN770 is cheaper at $129 vs $695.95 for the Fanxiang M.2 SSD PCIe Gen3.
The Fanxiang M.2 SSD PCIe Gen3 is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
Buy the Western Digital Black SN770 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.