Devialet Gemini II Review: Ranked #169 of 1448

Last updated: October 20, 2026

The Devialet Gemini II ranks #169 out of 1448 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: Devialet

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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#169 Devialet Gemini II: $499.00 TWS Amazon $499.00 eBay

Pros: ANC earbuds with aptX, AAC and IPX4 whose sub bass, bass and lower mids sit about 1.5 dB above target for a full, warm sound. Deviation from target is a low 1.65 dB.

Cons: An 8.5 dB peak near 8.2 kHz can make sibilants sharp, and battery life is short at 5 hours, 22 with the case. The Moondrop Golden Ages 2 rates higher for far less, and the score rests on a single measurement.

Is the Devialet Gemini II right for you?

Buy it if

  • you want the tuning most listeners prefer in blind tests out of the box (Harman score 79).
  • you want sub-bass rumble that reaches down to 20 Hz.
  • you want noise cancelling for commutes or flights.

Skip it if

Active Noise CancellingYes
BackClosed
Battery Life5 hours (22 with case)
Bluetooth CodecsSBC, AAC, aptX
Bluetooth Version5.2
Built-in MicrophoneYes
ConnectionTrue wireless
Deviation From Target1.65 dB standard deviation
Driver TypeDynamic
Drivers1 x 10mm titanium-coated dynamic
Form FactorIn-ear
Frequency Response5Hz - 20kHz (Manufacturer specified)
Harman Preference Score79 (1 squig.link measurement, calibrated to AutoEQ)
IP RatingIPX4
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-0.0 dB at 30 Hz)
Tonal Tilt-0.29 (negative is warmer, positive brighter)
Weight0 lbs (6 g) per earbud

EQ Presets

Harman target

Set a preamp of -3.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 88 out of 100, up from 79.

FilterFrequencyGainQ
Low shelf105 Hz-1.4 dB0.70
High shelf10,000 Hz-2.5 dB0.70
Peak634 Hz-2.7 dB2.04
Peak2,065 Hz+3.2 dB2.12
Peak7,619 Hz-3.3 dB6.00

Neutral target

Set a preamp of -3.3 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 Neutral match with this EQ: 92 out of 100, up from 40.

FilterFrequencyGainQ
Low shelf105 Hz-9.9 dB0.70
High shelf10,000 Hz-2.5 dB0.70
Peak39 Hz-1.8 dB2.74
Peak187 Hz-0.9 dB0.65
Peak660 Hz-2.8 dB2.29
Peak1,131 Hz+1.7 dB3.79
Peak2,064 Hz+3.2 dB2.11
Peak4,885 Hz-1.4 dB6.00
Peak7,619 Hz-3.3 dB6.00

Studio flat target

Set a preamp of -5.6 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 87 out of 100, up from 21.

FilterFrequencyGainQ
Low shelf105 Hz-11.7 dB0.70
High shelf10,000 Hz+1.1 dB0.70
Peak144 Hz-2.0 dB0.60
Peak620 Hz-1.8 dB0.40
Peak722 Hz-1.6 dB5.24
Peak1,217 Hz+2.8 dB2.18
Peak2,281 Hz+5.4 dB2.32
Peak2,904 Hz+1.3 dB1.95
Peak5,568 Hz-2.3 dB1.53
Peak7,704 Hz-1.9 dB6.00

Warm target

Set a preamp of -2.4 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 Warm match with this EQ: 89 out of 100, up from 79.

FilterFrequencyGainQ
Low shelf105 Hz-1.2 dB0.70
High shelf10,000 Hz-5.9 dB0.70
Peak39 Hz-1.4 dB6.00
Peak648 Hz-2.5 dB2.57
Peak1,114 Hz+1.9 dB4.22
Peak1,962 Hz+2.5 dB2.37
Peak3,333 Hz-1.3 dB6.00
Peak4,781 Hz-2.0 dB6.00
Peak8,000 Hz-4.4 dB1.16

Bass target

Set a preamp of -3.3 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: 90 out of 100, up from 74.

FilterFrequencyGainQ
Low shelf105 Hz+2.4 dB0.70
High shelf10,000 Hz-2.5 dB0.70
Peak635 Hz-2.7 dB2.06
Peak1,137 Hz+1.7 dB3.88
Peak2,065 Hz+3.2 dB2.12
Peak4,885 Hz-1.4 dB6.00
Peak7,618 Hz-3.3 dB6.00

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: 89 out of 100, up from 32.

FilterFrequencyGainQ
Low shelf105 Hz-10.0 dB0.70
Peak39 Hz-1.7 dB2.96
Peak660 Hz-3.0 dB2.35
Peak1,955 Hz+1.9 dB2.01
Peak5,345 Hz+2.4 dB0.40
Peak7,708 Hz-2.1 dB6.00

V-shaped target

Set a preamp of -3.9 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 V-shaped match with this EQ: 88 out of 100, up from 74.

FilterFrequencyGainQ
Low shelf105 Hz+3.1 dB0.70
High shelf10,000 Hz+1.1 dB0.70
Peak701 Hz-3.3 dB3.13
Peak2,078 Hz+2.3 dB2.81
Peak5,345 Hz+2.9 dB0.40
Peak7,828 Hz-1.7 dB4.01

Frequency Response

How the Devialet Gemini II 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.

Devialet Gemini IIHarman target
Measured frequency response of the Devialet Gemini II-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: a single measurement from the squig.link database of dhrme. Thanks to them for publishing their work.

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