GoldPlanar GL-AMT16 Review: Ranked #863 of 1369

Last updated: October 17, 2026

The GoldPlanar GL-AMT16 ranks #863 out of 1369 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Prices on this page were last checked October 17, 2026 at 6:04 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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#863 GoldPlanar GL-AMT16: $1,499.00 Linsoul $1,499.00 eBay

Pros: A broadly balanced tuning with a preference score of 67 against the Harman target.

Cons: About 3 dB less bass than the Harman target below 150 Hz, which can sound thin on pop, hip hop and electronic music. Treble about 5 dB below target from 3 to 10 kHz, which can sound dull or veiled next to brighter headphones. An uneven response, 2.9 dB standard deviation from target.

Is the GoldPlanar GL-AMT16 right for you?

Buy it if

  • you are sensitive to bright or sharp treble (treble sits 5.4 dB below target).
  • you are happy to use EQ: our preset lifts its Harman match by about 15 points.

Skip it if

  • you want more bass (about 3 dB below target).
  • you want the best value: the higher-rated EPZ G10 costs about $1,475 less.
BackClosed
ConnectionWired
Deviation From Target2.90 dB standard deviation
Driver TypeAMT
Drivers15.5mm folded diaphragm Air Motion Transformer (AMT) driver
Form FactorIn-ear
Frequency Response15Hz - 50kHz
Harman Preference Score67 (median of 3 squig.link measurements, calibrated to AutoEQ)
Impedance16 ohms
Sensitivity102 dB
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-4.0 dB at 30 Hz)
Tonal Tilt-0.00 (negative is warmer, positive brighter)
Weight0 lbs (14 g)

EQ Presets

Harman 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 82 out of 100, up from 67.

FilterFrequencyGainQ
Low shelf105 Hz+4.4 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak1,771 Hz-4.3 dB3.68
Peak2,062 Hz-1.8 dB6.00
Peak2,830 Hz+3.5 dB4.16
Peak4,351 Hz+6.0 dB0.99

Neutral 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 85 out of 100, up from 46.

FilterFrequencyGainQ
Low shelf105 Hz-4.1 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak87 Hz-1.6 dB1.45
Peak1,772 Hz-4.3 dB3.68
Peak2,062 Hz-1.8 dB6.00
Peak2,830 Hz+3.5 dB4.16
Peak4,351 Hz+6.0 dB0.99

Studio flat 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 82 out of 100, up from 29.

FilterFrequencyGainQ
Low shelf105 Hz-6.7 dB0.70
High shelf10,000 Hz-1.5 dB0.70
Peak141 Hz-2.7 dB0.93
Peak633 Hz+1.4 dB2.11
Peak1,708 Hz-3.5 dB3.72
Peak2,004 Hz-1.7 dB6.00
Peak2,610 Hz+3.6 dB5.12
Peak3,893 Hz+6.0 dB1.07

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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 86 out of 100, up from 67.

FilterFrequencyGainQ
Low shelf105 Hz+4.6 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak1,815 Hz-4.7 dB3.72
Peak2,845 Hz+3.6 dB5.13
Peak3,839 Hz+6.0 dB1.48

Bass 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 84 out of 100, up from 54.

FilterFrequencyGainQ
Low shelf105 Hz+6.0 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak1,772 Hz-4.3 dB3.68
Peak2,062 Hz-1.8 dB6.00
Peak2,830 Hz+3.5 dB4.16
Peak4,351 Hz+6.0 dB0.99

Bright 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 76 out of 100, up from 34.

FilterFrequencyGainQ
Low shelf105 Hz-4.2 dB0.70
High shelf10,000 Hz-4.3 dB0.70
Peak89 Hz-1.6 dB1.44
Peak562 Hz+1.5 dB1.56
Peak1,355 Hz-1.3 dB5.62
Peak1,737 Hz-4.1 dB3.79
Peak2,034 Hz-2.1 dB6.00
Peak2,900 Hz+3.9 dB3.42
Peak5,345 Hz+6.0 dB0.74
Peak6,766 Hz-3.1 dB5.85

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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 75 out of 100, up from 51.

FilterFrequencyGainQ
Low shelf105 Hz+6.0 dB0.70
High shelf10,000 Hz-2.9 dB0.70
Peak89 Hz+1.1 dB1.34
Peak398 Hz+1.7 dB0.52
Peak1,232 Hz-1.7 dB2.90
Peak1,708 Hz-3.8 dB3.68
Peak2,012 Hz-2.0 dB6.00
Peak2,860 Hz+3.9 dB3.42
Peak5,345 Hz+6.0 dB0.71
Peak6,863 Hz-3.3 dB5.15

Frequency Response

How the GoldPlanar GL-AMT16 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 3 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.

GoldPlanar GL-AMT16Harman target
Measured frequency response of the GoldPlanar GL-AMT16-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 3 measurements from the squig.link databases of hu-fi, silicagel and tonedeafmonk. Thanks to each of them for publishing their work.

Head-to-Head Comparisons

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