The WLMOUSE Huan ranks #24 out of 1448 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Prices on this page were last checked October 20, 2026 at 10:35 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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#24 WLMOUSE Huan: €249 MaxGaming eBay
Pros: A hybrid with one 8 mm dynamic driver and eight balanced armatures whose deviation from target is an exceptionally low 1.08 dB, with every band from 20 Hz to 12 kHz within about 1.5 dB. A preference score of 85 puts it alongside the best wired earphones, and it comes with a detachable boom mic for gaming and calls.
Cons: A 4 dB peak near 8.2 kHz adds a touch of sparkle that can sharpen sibilants. It is sold mainly through European and gaming retailers, and the score rests on a single measurement.
Is the WLMOUSE Huan right for you?
Buy it if
- you want the tuning most listeners prefer in blind tests out of the box (Harman score 85).
- you want sub-bass rumble that reaches down to 20 Hz.
| Released | Dec 2025 (10 months ago) |
|---|---|
| Back | Closed |
| Built-in Microphone | Yes (detachable boom mic) |
| Connection | Wired |
| Deviation From Target | 1.08 dB standard deviation |
| Driver Type | Hybrid (1 dynamic + 8 balanced armature) |
| Drivers | 1 x 8mm dynamic + 8 x balanced armature |
| Form Factor | In-ear |
| Frequency Response | 20Hz - 20kHz (Manufacturer specified) |
| Harman Preference Score | 85 (1 squig.link measurement, calibrated to AutoEQ) |
| Impedance | 14 ohms |
| Sensitivity | 108 dB (±2 dB) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (-1.4 dB at 30 Hz) |
| Tonal Tilt | -0.08 (negative is warmer, positive brighter) |
EQ Presets
Harman target
Set a preamp of -0.8 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 91 out of 100, up from 85.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +0.4 dB | 0.70 |
| High shelf | 10,000 Hz | -4.9 dB | 0.70 |
| Peak | 219 Hz | -2.1 dB | 0.67 |
| Peak | 522 Hz | -0.7 dB | 3.32 |
| Peak | 2,293 Hz | +0.8 dB | 0.57 |
Neutral target
Set a preamp of -0.8 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 92 out of 100, up from 51.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -8.1 dB | 0.70 |
| High shelf | 10,000 Hz | -4.9 dB | 0.70 |
| Peak | 190 Hz | -2.0 dB | 0.52 |
| Peak | 508 Hz | -0.6 dB | 2.97 |
| Peak | 2,293 Hz | +0.8 dB | 0.56 |
Studio flat target
Set a preamp of -3.4 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 90 out of 100, up from 30.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.7 dB | 0.70 |
| High shelf | 10,000 Hz | +1.4 dB | 0.70 |
| Peak | 194 Hz | -3.8 dB | 0.65 |
| Peak | 2,467 Hz | +3.4 dB | 1.91 |
| Peak | 5,613 Hz | -2.2 dB | 3.75 |
Warm target
Set a preamp of -0.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 92 out of 100, up from 84.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +0.7 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 211 Hz | -1.8 dB | 0.69 |
| Peak | 924 Hz | +1.1 dB | 3.24 |
| Peak | 8,000 Hz | -2.3 dB | 0.68 |
Bass target
Set a preamp of -4.3 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 91 out of 100, up from 71.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +4.2 dB | 0.70 |
| High shelf | 10,000 Hz | -4.9 dB | 0.70 |
| Peak | 227 Hz | -2.1 dB | 0.72 |
| Peak | 2,293 Hz | +0.8 dB | 0.58 |
Bright target
Set a preamp of -3.1 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 90 out of 100, up from 40.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -8.1 dB | 0.70 |
| High shelf | 10,000 Hz | -1.3 dB | 0.70 |
| Peak | 195 Hz | -2.0 dB | 0.47 |
| Peak | 904 Hz | +0.8 dB | 3.98 |
| Peak | 5,345 Hz | +3.1 dB | 0.78 |
V-shaped target
Set a preamp of -5.0 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 87 out of 100, up from 70.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +4.9 dB | 0.70 |
| Peak | 5,345 Hz | +3.5 dB | 0.69 |
- Links
- Reviews, Comparisons and Sound Samples
Frequency Response
How the WLMOUSE Huan 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 a single measurement, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.
Measurement data: a single measurement from the squig.link database of fahryst. Thanks to them for publishing their work.