Unique Melody MEST Jet Black Review: Ranked #634 of 1084

Last updated: October 15, 2026

The Unique Melody MEST Jet Black ranks #634 out of 1084 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: Unique Melody

Prices on this page were last checked October 15, 2026 at 5:41 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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#634 Unique Melody MEST Jet Black: $1,999.00 HiFiGo $1,999.00 eBay

Pros: A flagship in Unique Melody’s MEST family, combining dynamic, balanced armature, electrostatic and bone conduction drivers. Measurements show bass right on the Harman target and full sub-bass to 20 Hz (score 68 across four measurements).

Cons: Treble sits about 3.7 dB below target, a dark, relaxed balance. A 2.41 dB spread from the target shows peaks and dips that better tuned sets avoid. Very expensive for its rating.

Is the Unique Melody MEST Jet Black right for you?

Buy it if

  • you are sensitive to bright or sharp treble (treble sits 3.7 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 23 points.

Skip it if

  • you want the best value: the higher-rated EPZ G10 costs about $1,975 less.
Released2025 (1 year ago)
BackClosed
ConnectionWired
Deviation From Target2.41 dB standard deviation
Driver TypeQuadbrid
Drivers1 x dynamic + balanced armatures + 2 x electrostatic + bone conduction
Form FactorIn-ear
Harman Preference Score68 (median of 4 squig.link measurements, calibrated to AutoEQ)
Impedance12.6 ohms
Sensitivity106 dB @ 1kHz
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-0.3 dB at 30 Hz)
Tonal Tilt-0.64 (negative is warmer, positive brighter)

EQ Presets

Harman 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 Harman match with this EQ: 91 out of 100, up from 68.

FilterFrequencyGainQ
High shelf10,000 Hz-2.7 dB0.70
Peak957 Hz-1.7 dB1.66
Peak2,538 Hz+2.2 dB3.50
Peak3,893 Hz+6.0 dB0.89
Peak7,444 Hz-1.5 dB2.54

Neutral 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 Neutral match with this EQ: 93 out of 100, up from 33.

FilterFrequencyGainQ
Low shelf105 Hz-8.3 dB0.70
High shelf10,000 Hz-2.6 dB0.70
Peak23 Hz-1.2 dB1.59
Peak954 Hz-1.7 dB1.72
Peak2,015 Hz+0.8 dB4.79
Peak2,537 Hz+2.2 dB3.49
Peak3,893 Hz+6.0 dB0.89
Peak7,651 Hz-1.5 dB2.00

Studio flat target

Set a preamp of -6.5 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: 88 out of 100, up from 14.

FilterFrequencyGainQ
Low shelf105 Hz-10.8 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak24 Hz-1.3 dB2.18
Peak70 Hz+1.2 dB2.15
Peak194 Hz-1.8 dB0.40
Peak1,070 Hz-1.8 dB1.67
Peak2,603 Hz+6.0 dB1.07
Peak4,172 Hz+3.6 dB3.67

Warm target

Set a preamp of -6.3 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: 95 out of 100, up from 76.

FilterFrequencyGainQ
Low shelf105 Hz+0.5 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak1,007 Hz-1.2 dB1.97
Peak2,527 Hz+1.8 dB2.66
Peak3,654 Hz+6.0 dB1.35
Peak7,371 Hz-2.5 dB2.91

Bass 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 Bass match with this EQ: 93 out of 100, up from 70.

FilterFrequencyGainQ
Low shelf105 Hz+4.0 dB0.70
High shelf10,000 Hz-2.7 dB0.70
Peak957 Hz-1.7 dB1.66
Peak2,538 Hz+2.2 dB3.50
Peak3,893 Hz+6.0 dB0.89
Peak7,445 Hz-1.5 dB2.54

Bright target

Set a preamp of -6.5 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: 86 out of 100, up from 22.

FilterFrequencyGainQ
Low shelf105 Hz-8.4 dB0.70
High shelf10,000 Hz+1.2 dB0.70
Peak23 Hz-1.2 dB1.72
Peak1,072 Hz-2.2 dB1.20
Peak2,954 Hz+6.0 dB0.84
Peak5,345 Hz+3.7 dB3.04

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: 83 out of 100, up from 62.

FilterFrequencyGainQ
Low shelf105 Hz+4.7 dB0.70
High shelf10,000 Hz+2.0 dB0.70
Peak329 Hz+0.9 dB0.42
Peak737 Hz-1.4 dB3.06
Peak1,109 Hz-2.9 dB1.58
Peak2,773 Hz+6.0 dB0.84
Peak5,345 Hz+4.0 dB2.80

Frequency Response

How the Unique Melody MEST Jet Black 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.

Unique Melody MEST Jet BlackHarman target
Measured frequency response of the Unique Melody MEST Jet Black-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 4 measurements from the squig.link databases of atechreviews, silicagel, sl0the and superreview. Thanks to each of them for publishing their work.

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