Leica M10-D vs Leica M11-D
Side-by-side used price and spec comparison. Lowest current prices pulled daily from the major used-gear sites.
Lowest now
$7,099
MSRP
$7,995
-11% vs MSRP
Lowest price we've ever observed
Lowest price we've ever observed. This at $7,099 matches the lowest we've ever recorded for this body. That's 89% of the $7,995 MSRP. Prices have been steady this month.
Lowest now
$8,782
MSRP
$9,195
-4% vs MSRP
Typical pricing right now
Today's price sits in the middle of its recent range. The 90-day window runs from $8,000 to roughly today's $8,782. 96% of the $9,195 MSRP. Prices are down 8.7% over the last 30 days.
Quick answers
- Which is cheaper used, the Leica M10-D or the Leica M11-D?
- The Leica M10-D is cheaper used: $7,099 against $8,782 for the Leica M11-D, a gap of $1,683 (24%) as of 2026-10-28.
- How much more does the newer Leica M11-D cost used?
- $1,683 more. The Leica M11-D (2024) starts at $8,782 used and the Leica M10-D (2018) at $7,099 as of 2026-10-28.
- What share of its launch price does a used Leica M10-D cost?
- About 89%: $7,099 used against a $7,995 launch price as of 2026-10-28.
Specs side by side
| Leica M10-D | Leica M11-D | |
|---|---|---|
| Brand | Leica | Leica |
| Family | Leica M | Leica M |
| Category | body | body |
| Body type | Rangefinder | Rangefinder |
| Mount | Leica M | Leica M |
| Sensor | Full Frame | Full Frame |
| Sensor family | — | Leica 60MP BSI CMOS (M11/Q3/SL3) · 60MP full-frame BSI CMOS |
| Megapixels | 24 MP | 60 MP |
| Autofocus | — | — |
| IBIS | — | no |
| Weather sealed | — | No |
| Max video | — | no video |
| Max native ISO | — | ISO 50,000 |
| Body weight | — | 581 g |
| Dimensions | — | 139 × 80 × 39 mm |
| Body material | — | aluminum/magnesium |
| Released | 2018-10-24 | 2024-09-19 |
| Discontinued | — | — |
| Status | discontinued | current |
| MSRP | $7,995 | $9,195 |
| Current low | $7,099 | $8,782 |
| vs MSRP | -11% | -4% |
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.