The Kinera Celest Wyvern ranks #678 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: Kinera
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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#678 Kinera Celest Wyvern: $29.99 Linsoul $29.99 eBay
Pros: A broadly balanced tuning with a preference score of 70 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, 2.2 dB standard deviation from target.
Is the Kinera Celest Wyvern 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 13 points.
Skip it if
- you want the best value: the higher-rated EPZ G10 costs about $6 less.
| Back | Closed |
|---|---|
| Connection | Wired (3.5mm) |
| Deviation From Target | 2.22 dB standard deviation |
| Driver Type | Dynamic |
| Drivers | 1 Dynamic (10mm LCP) |
| Form Factor | In-ear |
| Harman Preference Score | 70 (median of 7 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (+0.5 dB at 30 Hz) |
| Tonal Tilt | -0.66 (negative is warmer, positive brighter) |
EQ Presets
Harman target
Set a preamp of -5.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 83 out of 100, up from 70.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| High shelf | 10,000 Hz | -0.8 dB | 0.70 |
| Peak | 186 Hz | -1.5 dB | 1.18 |
| Peak | 682 Hz | +1.4 dB | 2.41 |
| Peak | 1,785 Hz | -1.6 dB | 2.56 |
| Peak | 5,494 Hz | +6.0 dB | 2.56 |
Neutral target
Set a preamp of -5.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 83 out of 100, up from 34.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -8.6 dB | 0.70 |
| High shelf | 10,000 Hz | -0.8 dB | 0.70 |
| Peak | 186 Hz | -1.4 dB | 0.94 |
| Peak | 663 Hz | +1.5 dB | 2.74 |
| Peak | 1,726 Hz | -1.5 dB | 2.08 |
| Peak | 5,494 Hz | +6.0 dB | 2.55 |
Studio flat target
Set a preamp of -4.7 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 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 83 out of 100, up from 17.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -11.1 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 176 Hz | -3.3 dB | 0.86 |
| Peak | 692 Hz | +1.4 dB | 3.42 |
| Peak | 1,508 Hz | -1.0 dB | 2.82 |
| Peak | 2,883 Hz | +2.9 dB | 4.37 |
| Peak | 4,281 Hz | -1.8 dB | 6.00 |
| Peak | 5,494 Hz | +4.6 dB | 1.69 |
Warm 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 median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 87 out of 100, up from 80.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| High shelf | 10,000 Hz | -4.1 dB | 0.70 |
| Peak | 189 Hz | -1.2 dB | 1.28 |
| Peak | 705 Hz | +1.8 dB | 2.60 |
| Peak | 1,987 Hz | -2.2 dB | 1.93 |
| Peak | 5,771 Hz | +6.0 dB | 4.14 |
Bass target
Set a preamp of -5.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 84 out of 100, up from 73.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +3.7 dB | 0.70 |
| High shelf | 10,000 Hz | -0.8 dB | 0.70 |
| Peak | 189 Hz | -1.5 dB | 1.35 |
| Peak | 686 Hz | +1.4 dB | 2.50 |
| Peak | 1,783 Hz | -1.6 dB | 2.53 |
| Peak | 5,495 Hz | +6.0 dB | 2.56 |
Bright 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 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 70 out of 100, up from 22.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -8.7 dB | 0.70 |
| High shelf | 10,000 Hz | +1.5 dB | 0.70 |
| Peak | 5,085 Hz | +6.0 dB | 1.80 |
V-shaped 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 7 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 70 out of 100, up from 60.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +4.4 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 4,949 Hz | +6.0 dB | 1.59 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the Kinera Celest Wyvern 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 7 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.
Measurement data: median of 7 measurements from the squig.link databases of cammyfi, csi-zone, eplv, harpo, koi, soundignity and vortexreviews. Thanks to each of them for publishing their work.