The Alpha Omega RA ranks #844 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
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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#844 Alpha Omega RA: $699 Discontinued eBay
Pros: A broadly balanced tuning with a preference score of 67 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, 2.3 dB standard deviation from target. Discontinued.
Is the Alpha Omega RA right for you?
Buy it if
- you are sensitive to bright or sharp treble (treble sits 4.4 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 18 points.
Skip it if
- you want to buy it new: it is discontinued.
| Back | Closed |
|---|---|
| Connection | Wired (3.5mm / 4.4mm) |
| Deviation From Target | 2.29 dB standard deviation |
| Driver Type | Tribrid |
| Drivers | 1 Dynamic (beryllium-coated), 4 Balanced Armature, 2 Electrostatic |
| Form Factor | In-ear |
| Harman Preference Score | 67 (median of 6 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (+3.1 dB at 30 Hz) |
| Tonal Tilt | -0.92 (negative is warmer, positive brighter) |
EQ Presets
Harman 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 median of 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 85 out of 100, up from 67.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.3 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 1,412 Hz | -2.8 dB | 3.76 |
| Peak | 4,794 Hz | +5.1 dB | 1.08 |
Neutral 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 median of 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 85 out of 100, up from 27.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -9.8 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 1,413 Hz | -2.8 dB | 3.76 |
| Peak | 4,792 Hz | +5.1 dB | 1.08 |
Studio flat 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 82 out of 100, up from 9.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -11.3 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 158 Hz | -1.7 dB | 1.23 |
| Peak | 1,408 Hz | -3.2 dB | 2.80 |
| Peak | 2,613 Hz | +3.7 dB | 4.62 |
| Peak | 5,345 Hz | +4.2 dB | 0.49 |
| Peak | 7,185 Hz | -2.6 dB | 4.95 |
Warm 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 the median of 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 93 out of 100, up from 77.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.0 dB | 0.70 |
| Peak | 23 Hz | -1.4 dB | 2.66 |
| Peak | 79 Hz | +1.1 dB | 1.17 |
| Peak | 481 Hz | +1.9 dB | 0.84 |
| Peak | 1,188 Hz | -1.4 dB | 4.34 |
| Peak | 1,446 Hz | -2.8 dB | 4.11 |
| Peak | 2,624 Hz | +1.8 dB | 4.22 |
| Peak | 5,464 Hz | +4.2 dB | 1.63 |
Bass 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 median of 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 87 out of 100, up from 77.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.5 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 1,412 Hz | -2.8 dB | 3.75 |
| Peak | 4,795 Hz | +5.1 dB | 1.08 |
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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 75 out of 100, up from 15.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -9.8 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 1,418 Hz | -3.0 dB | 3.51 |
| Peak | 4,402 Hz | +6.0 dB | 1.08 |
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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 73 out of 100, up from 62.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +3.2 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 424 Hz | +1.9 dB | 0.40 |
| Peak | 1,379 Hz | -3.3 dB | 3.42 |
| Peak | 4,233 Hz | +6.0 dB | 0.99 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the Alpha Omega RA 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 6 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 6 measurements from the squig.link databases of ducbloke, gadgetgenerations, hbb, pw, superreview and treblewellxtended. Thanks to each of them for publishing their work.