Fujifilm X-M5 vs Sony ZV-E10 II
Side-by-side used price and spec comparison. Lowest current prices pulled daily from the major used-gear sites.
Lowest now
$750
MSRP
$799
-6% vs MSRP
Lowest price we've ever observed
Lowest price we've ever observed. This at $750 matches the lowest we've ever recorded for this body. That's 94% of the $799 MSRP. Prices are down 5.7% over the last 30 days.
Lowest now
$810
MSRP
$999
-19% vs MSRP
Well above the 90-day low
Today's price sits well above the recent low. Today's price runs 34% above the 90-day low of $605 (seen Sep 22, 2026). 81% of the $999 MSRP. Prices are down 3.6% over the last 30 days.
Quick answers
- Which is cheaper used, the Fujifilm X-M5 or the Sony ZV-E10 II?
- The Fujifilm X-M5 is cheaper used: $750 against $810 for the Sony ZV-E10 II, a gap of $60 (8%) as of 2026-10-29.
- What share of its launch price does a used Fujifilm X-M5 cost?
- About 94%: $750 used against a $799 launch price as of 2026-10-29.
Specs side by side
| Fujifilm X-M5 | Sony ZV-E10 II | |
|---|---|---|
| Brand | Fujifilm | Sony |
| Family | Fujifilm X-M | Sony ZV |
| Category | body | body |
| Body type | Mirrorless | Mirrorless |
| Mount | Fujifilm X | Sony E |
| Sensor | APS-C | APS-C |
| Sensor family | X-Trans IV · 26MP X-Trans CMOS 4 (BSI) | Sony APS-C 26MP BSI (A6700) · 26MP APS-C Exmor R BSI CMOS |
| Megapixels | 26.1 MP | 26 MP |
| Autofocus | Hybrid | Hybrid |
| IBIS | no | no |
| Weather sealed | No | No |
| Max video | 6K30 | 4K60 |
| Max native ISO | ISO 12,800 | ISO 32,000 |
| Body weight | 355 g | 377 g |
| Dimensions | 112 × 67 × 38 mm | 115 × 68 × 54 mm |
| Body material | polycarbonate | polycarbonate |
| Released | 2024-11-14 | 2024-07-10 |
| Discontinued | — | — |
| Status | current | current |
| MSRP | $799 | $999 |
| Current low | $750 | $810 |
| vs MSRP | -6% | -19% |
Both cameras appear in
Curated best-under lists where both of these qualify today.
The verdicts above describe price timing. They don't tell you which camera fits your shooting style. See /methods for how we normalize seller conditions and compute the deal score.