The KZ Eldar ranks #219 out of 1476 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: KZ
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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#219 KZ Eldar: $14.99 eBay
Pros: A budget single dynamic IEM at about $15 with a preference score of 78 and only 1.52 dB average deviation across two measurements. Bass carries a gentle 2 dB lift down to 20 Hz, and the midrange is almost on target.
Cons: Peaks of 4 dB near 8.2 kHz and 11.5 kHz add some sparkle and edge, and the warm tilt (minus 0.55) may feel thick to treble lovers. It is sold out, and KZ does not publish the driver size.
Is the KZ Eldar right for you?
Buy it if
- you want the tuning most listeners prefer in blind tests out of the box (Harman score 78).
- your taste runs warm: it scores 83 for that sound.
- you want sub-bass rumble that reaches down to 20 Hz.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 1.52 dB standard deviation |
| Driver Type | Dynamic |
| Drivers | 1 x dynamic |
| Form Factor | In-ear |
| Frequency Response | 20Hz - 40kHz (Manufacturer specified) |
| Harman Preference Score | 78 (average of 2 squig.link measurements scored separately, calibrated to AutoEQ) |
| Impedance | 24 ohms |
| Sensitivity | 105 dB/mW |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (+1.9 dB at 30 Hz) |
| Tonal Tilt | -0.55 (negative is warmer, positive brighter) |
EQ Presets
Harman 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 the average of 2 independent measurements from squig.link, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 91 out of 100, up from 78.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -2.0 dB | 0.70 |
| High shelf | 10,000 Hz | -2.1 dB | 0.70 |
| Peak | 182 Hz | -2.9 dB | 0.94 |
| Peak | 5,882 Hz | +3.3 dB | 4.65 |
Neutral 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 the average of 2 independent measurements from squig.link, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 92 out of 100, up from 37.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.5 dB | 0.70 |
| High shelf | 10,000 Hz | -2.1 dB | 0.70 |
| Peak | 174 Hz | -2.8 dB | 0.75 |
| Peak | 5,882 Hz | +3.3 dB | 4.64 |
Studio flat target
Set a preamp of -2.5 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 average of 2 independent measurements from squig.link, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 89 out of 100, up from 18.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -11.9 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 166 Hz | -4.8 dB | 0.71 |
| Peak | 2,836 Hz | +2.4 dB | 2.37 |
Warm target
Set a preamp of -1.2 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 average of 2 independent measurements from squig.link, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 92 out of 100, up from 83.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.7 dB | 0.70 |
| High shelf | 10,000 Hz | -5.7 dB | 0.70 |
| Peak | 176 Hz | -2.7 dB | 0.99 |
| Peak | 739 Hz | +1.4 dB | 2.57 |
| Peak | 2,089 Hz | -1.2 dB | 1.77 |
| Peak | 6,887 Hz | -1.3 dB | 0.40 |
Bass 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 the average of 2 independent measurements from squig.link, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 92 out of 100, up from 82.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +1.8 dB | 0.70 |
| High shelf | 10,000 Hz | -2.1 dB | 0.70 |
| Peak | 186 Hz | -2.9 dB | 0.99 |
| Peak | 5,883 Hz | +3.3 dB | 4.66 |
Bright target
Set a preamp of -5.2 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 average of 2 independent measurements from squig.link, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 91 out of 100, up from 26.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.6 dB | 0.70 |
| High shelf | 10,000 Hz | +1.6 dB | 0.70 |
| Peak | 174 Hz | -2.8 dB | 0.75 |
| Peak | 714 Hz | +1.1 dB | 2.65 |
| Peak | 5,454 Hz | +5.1 dB | 2.06 |
V-shaped target
Set a preamp of -5.4 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the average of 2 independent measurements from squig.link, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 88 out of 100, up from 76.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.5 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 175 Hz | -1.6 dB | 1.21 |
| Peak | 5,272 Hz | +5.2 dB | 1.73 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the KZ Eldar 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 average of 2 independent measurements, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.
Measurement data: the average of 2 independent measurements from the squig.link databases of enemyspider and practiphile. Thanks to each of them for publishing their work.