Leica Q3 vs. Leica M10-R

Comparison

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Q3 image
vs
M10-R image
Leica Q3 Leica M10-R
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Megapixels
60.30
41.00
Max. image resolution
9520 x 6336
7864 x 5200

Sensor

Sensor type
CMOS
CMOS
Sensor size
36 x 24 mm
36 x 24 mm
Sensor resolution
9510 x 6340
7842 x 5228
Diagonal
43.27 mm
43.27 mm
Sensor size comparison
Sensor size is generally a good indicator of the quality of the camera. Sensors can vary greatly in size. As a general rule, the bigger the sensor, the better the image quality.

Bigger sensors are more effective because they have more surface area to capture light. An important factor when comparing digital cameras is also camera generation. Generally, newer sensors will outperform the older.

Learn more about sensor sizes »

Actual sensor size

Note: Actual size is set to screen → change »
vs
1 : 1
(ratio)
Leica Q3 Leica M10-R
Surface area:
864.00 mm² vs 864.00 mm²
Difference: 0 mm² (0%)
Q3 and M10-R sensors are the same size.
Note: You are comparing cameras of different generations. There is a 3 year gap between Leica Q3 (2023) and Leica M10-R (2020). All things being equal, newer sensor generations generally outperform the older.
Pixel pitch
3.79 µm
4.59 µm
Pixel pitch tells you the distance from the center of one pixel (photosite) to the center of the next. It tells you how close the pixels are to each other.

The bigger the pixel pitch, the further apart they are and the bigger each pixel is. Bigger pixels tend to have better signal to noise ratio and greater dynamic range.
Difference: 0.8 µm (21%)
Pixel pitch of M10-R is approx. 21% higher than pixel pitch of Q3.
Pixel area
14.36 µm²
21.07 µm²
Pixel or photosite area affects how much light per pixel can be gathered. The larger it is the more light can be collected by a single pixel.

Larger pixels have the potential to collect more photons, resulting in greater dynamic range, while smaller pixels provide higher resolutions (more detail) for a given sensor size.
Relative pixel sizes:
vs
Pixel area difference: 6.71 µm² (47%)
A pixel on Leica M10-R sensor is approx. 47% bigger than a pixel on Leica Q3.
Pixel density
6.98 MP/cm²
4.75 MP/cm²
Pixel density tells you how many million pixels fit or would fit in one square cm of the sensor.

Higher pixel density means smaller pixels and lower pixel density means larger pixels.
Difference: 2.23 µm (47%)
Leica Q3 has approx. 47% higher pixel density than Leica M10-R.
To learn about the accuracy of these numbers, click here.



Specs

Leica Q3
Leica M10-R
Crop factor
1
1
Total megapixels
62.39
Effective megapixels
60.30
41.00
Optical zoom
1x
 
Digital zoom
Yes
No
ISO sensitivity
Auto, 50-100000
Auto, 100-50000
RAW
Manual focus
Normal focus range
30 cm
Macro focus range
17 cm
Focal length (35mm equiv.)
28 mm
Aperture priority
Yes
Yes
Max. aperture
f1.7
Max. aperture (35mm equiv.)
f1.7
n/a
Metering
Multi, Center-weighted, Spot
Multi, Center-weighted, Spot
Exposure compensation
±3 EV (in 1/3 EV steps)
±3 EV (in 1/3 EV steps)
Shutter priority
Yes
No
Min. shutter speed
120 sec
960 sec
Max. shutter speed
1/16000 sec
1/4000 sec
Built-in flash
External flash
Viewfinder
Electronic
Optical (rangefinder)
White balance presets
5
8
Screen size
3"
3"
Screen resolution
1,843,200 dots
1,036,800 dots
Video capture
Max. video resolution
8192x4320 (30p/25p/24p)
Storage types
SD/SDHC/SDXC, UHS-II
SD/SDHC/SDXC
USB
USB 3.2 (10 GBit/sec)
HDMI
Wireless
GPS
Battery
BP-SCL6 Lithium-ion battery
BC-SCL5 lithium-ion battery
Weight
743 g
660 g
Dimensions
130 x 80.3 x 92.6 mm
139 x 38.5 x 80 mm
Year
2023
2020




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vs

Diagonal

Diagonal is calculated by the use of Pythagorean theorem:
Diagonal =  w² + h²
where w = sensor width and h = sensor height

Leica Q3 diagonal

w = 36.00 mm
h = 24.00 mm
Diagonal =  36.00² + 24.00²   = 43.27 mm

Leica M10-R diagonal

w = 36.00 mm
h = 24.00 mm
Diagonal =  36.00² + 24.00²   = 43.27 mm


Surface area

Surface area is calculated by multiplying the width and the height of a sensor.

Q3 sensor area

Width = 36.00 mm
Height = 24.00 mm

Surface area = 36.00 × 24.00 = 864.00 mm²

M10-R sensor area

Width = 36.00 mm
Height = 24.00 mm

Surface area = 36.00 × 24.00 = 864.00 mm²


Pixel pitch

Pixel pitch is the distance from the center of one pixel to the center of the next measured in micrometers (µm). It can be calculated with the following formula:
Pixel pitch =   sensor width in mm  × 1000
sensor resolution width in pixels

Q3 pixel pitch

Sensor width = 36.00 mm
Sensor resolution width = 9510 pixels
Pixel pitch =   36.00  × 1000  = 3.79 µm
9510

M10-R pixel pitch

Sensor width = 36.00 mm
Sensor resolution width = 7842 pixels
Pixel pitch =   36.00  × 1000  = 4.59 µm
7842


Pixel area

The area of one pixel can be calculated by simply squaring the pixel pitch:
Pixel area = pixel pitch²

You could also divide sensor surface area with effective megapixels:
Pixel area =   sensor surface area in mm²
effective megapixels

Q3 pixel area

Pixel pitch = 3.79 µm

Pixel area = 3.79² = 14.36 µm²

M10-R pixel area

Pixel pitch = 4.59 µm

Pixel area = 4.59² = 21.07 µm²


Pixel density

Pixel density can be calculated with the following formula:
Pixel density =  ( sensor resolution width in pixels )² / 1000000
sensor width in cm

One could also use this formula:
Pixel density =   effective megapixels × 1000000  / 10000
sensor surface area in mm²

Q3 pixel density

Sensor resolution width = 9510 pixels
Sensor width = 3.6 cm

Pixel density = (9510 / 3.6)² / 1000000 = 6.98 MP/cm²

M10-R pixel density

Sensor resolution width = 7842 pixels
Sensor width = 3.6 cm

Pixel density = (7842 / 3.6)² / 1000000 = 4.75 MP/cm²


Sensor resolution

Sensor resolution is calculated from sensor size and effective megapixels. It's slightly higher than maximum (not interpolated) image resolution which is usually stated on camera specifications. Sensor resolution is used in pixel pitch, pixel area, and pixel density formula. For sake of simplicity, we're going to calculate it in 3 stages.

1. First we need to find the ratio between horizontal and vertical length by dividing the former with the latter (aspect ratio). It's usually 1.33 (4:3) or 1.5 (3:2), but not always.

2. With the ratio (r) known we can calculate the X from the formula below, where X is a vertical number of pixels:
(X × r) × X = effective megapixels × 1000000    →   
X =  effective megapixels × 1000000
r
3. To get sensor resolution we then multiply X with the corresponding ratio:

Resolution horizontal: X × r
Resolution vertical: X

Q3 sensor resolution

Sensor width = 36.00 mm
Sensor height = 24.00 mm
Effective megapixels = 60.30
r = 36.00/24.00 = 1.5
X =  60.30 × 1000000  = 6340
1.5
Resolution horizontal: X × r = 6340 × 1.5 = 9510
Resolution vertical: X = 6340

Sensor resolution = 9510 x 6340

M10-R sensor resolution

Sensor width = 36.00 mm
Sensor height = 24.00 mm
Effective megapixels = 41.00
r = 36.00/24.00 = 1.5
X =  41.00 × 1000000  = 5228
1.5
Resolution horizontal: X × r = 5228 × 1.5 = 7842
Resolution vertical: X = 5228

Sensor resolution = 7842 x 5228


Crop factor

Crop factor or focal length multiplier is calculated by dividing the diagonal of 35 mm film (43.27 mm) with the diagonal of the sensor.
Crop factor =   43.27 mm
sensor diagonal in mm


Q3 crop factor

Sensor diagonal in mm = 43.27 mm
Crop factor =   43.27  = 1
43.27

M10-R crop factor

Sensor diagonal in mm = 43.27 mm
Crop factor =   43.27  = 1
43.27

35 mm equivalent aperture

Equivalent aperture (in 135 film terms) is calculated by multiplying lens aperture with crop factor (a.k.a. focal length multiplier).

Q3 equivalent aperture

Crop factor = 1
Aperture = f1.7

35-mm equivalent aperture = (f1.7) × 1 = f1.7

M10-R equivalent aperture

Aperture is a lens characteristic, so it's calculated only for fixed lens cameras. If you want to know the equivalent aperture for Leica M10-R, take the aperture of the lens you're using and multiply it with crop factor.

Since crop factor for Leica M10-R is 1, the equivalent aperture is aperture.

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