Name: MiM Audio Dark Magician (Revised Version)
Brand: MiM Audio
Price: 599 USD

The MiM Audio Dark Magician (Revised Version) ranks #748 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Prices on this page were last checked October 16, 2026 at 5:46 PM UTC. Product prices and availability are accurate as of that date/time and are subject to change; the price and availability shown on Amazon at the time of purchase will apply to the purchase of this product.

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MiM Audio Dark Magician (Revised Version) - ranked #748 of 1253 In-Ear Headphones · Editor's rating 3.6/5

#748 MiM Audio Dark Magician (Revised Version): $599 Discontinued eBay

Pros: A broadly balanced tuning with a preference score of 69 against the Harman target.

Cons: Treble about 4 dB below target from 3 to 10 kHz, which can sound dull or veiled next to brighter headphones. An uneven response, 2.3 dB standard deviation from target. Discontinued.

Is the MiM Audio Dark Magician (Revised Version) right for you?

Buy it if

you are sensitive to bright or sharp treble (treble sits 3.8 dB below target).
you want sub-bass rumble that reaches down to 20 Hz.
you are happy to use EQ: our preset lifts its Harman match by about 17 points.

Skip it if

you want to buy it new: it is discontinued.

Back	Closed
Connection	Wired (3.5mm)
Deviation From Target	2.31 dB standard deviation
Driver Type	Dynamic
Drivers	1 Dynamic (10.2mm carbon nanotube)
Form Factor	In-ear
Harman Preference Score	69 (median of 4 squig.link measurements, calibrated to AutoEQ)
Sub-bass Extension	Within 6 dB of target down to 20 Hz (-1.6 dB at 30 Hz)
Tonal Tilt	-0.55 (negative is warmer, positive brighter)

EQ Presets

Target sound

Harman target

Set a preamp of -5.6 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 86 out of 100, up from 69.

Filter	Frequency	Gain	Q
Low shelf	105 Hz	+1.1 dB	0.70
High shelf	10,000 Hz	+1.3 dB	0.70
Peak	196 Hz	-2.5 dB	0.79
Peak	1,827 Hz	-1.8 dB	2.71
Peak	3,308 Hz	+3.5 dB	5.38
Peak	5,345 Hz	+3.4 dB	0.63

Neutral target

Set a preamp of -5.6 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 87 out of 100, up from 38.

Filter	Frequency	Gain	Q
Low shelf	105 Hz	-7.5 dB	0.70
High shelf	10,000 Hz	+1.3 dB	0.70
Peak	181 Hz	-2.5 dB	0.66
Peak	1,831 Hz	-1.8 dB	2.76
Peak	3,308 Hz	+3.5 dB	5.38
Peak	5,345 Hz	+3.4 dB	0.63

Studio flat target

Set a preamp of -6.1 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 82 out of 100, up from 18.

Filter	Frequency	Gain	Q
Low shelf	105 Hz	-10.0 dB	0.70
High shelf	10,000 Hz	+2.0 dB	0.70
Peak	189 Hz	-4.3 dB	0.73
Peak	3,198 Hz	+6.0 dB	1.83
Peak	6,029 Hz	+3.3 dB	6.00

Warm target

Set a preamp of -4.0 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 87 out of 100, up from 79.

Filter	Frequency	Gain	Q
Low shelf	105 Hz	+1.3 dB	0.70
High shelf	10,000 Hz	-0.8 dB	0.70
Peak	191 Hz	-2.3 dB	0.87
Peak	1,879 Hz	-2.1 dB	2.92
Peak	3,308 Hz	+3.1 dB	6.00
Peak	5,345 Hz	+1.8 dB	0.67

Bass target

Set a preamp of -5.6 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 88 out of 100, up from 67.

Filter	Frequency	Gain	Q
Low shelf	105 Hz	+4.9 dB	0.70
High shelf	10,000 Hz	+1.3 dB	0.70
Peak	202 Hz	-2.5 dB	0.84
Peak	1,825 Hz	-1.8 dB	2.69
Peak	3,308 Hz	+3.5 dB	5.39
Peak	5,345 Hz	+3.4 dB	0.63

Bright target

Set a preamp of -6.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 77 out of 100, up from 26.

Filter	Frequency	Gain	Q
Low shelf	105 Hz	-7.5 dB	0.70
High shelf	10,000 Hz	+2.0 dB	0.70
Peak	181 Hz	-2.5 dB	0.64
Peak	759 Hz	+1.1 dB	2.73
Peak	1,906 Hz	-2.1 dB	2.55
Peak	3,573 Hz	+6.0 dB	1.35
Peak	5,769 Hz	+4.3 dB	6.00

V-shaped target

Set a preamp of -6.6 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 4 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 72 out of 100, up from 59.

Filter	Frequency	Gain	Q
Low shelf	105 Hz	+5.5 dB	0.70
High shelf	10,000 Hz	+2.0 dB	0.70
Peak	1,820 Hz	-2.0 dB	1.98
Peak	3,573 Hz	+6.0 dB	1.20
Peak	5,722 Hz	+4.1 dB	6.00

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Reviews, Comparisons and Sound Samples
- Frequency response measurements of the MiM Audio Dark Magician (Revised Version) by 4 squig.link measurers

Frequency Response

How the MiM Audio Dark Magician (Revised Version) measures across the audible range, against the Harman in-ear target that most listeners prefer in blind tests. Where the line sits above the target that range sounds louder (more bass, brighter treble), below it quieter. The curve is the median of 4 independent measurements, so one odd sample or rig cannot skew it, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.

MiM Audio Dark Magician (Revised Version)Harman target

Measurement data: median of 4 measurements from the squig.link databases of dl, eliseaudio, precog and pw. Thanks to each of them for publishing their work.