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Anker Sleep A30 vs FiiO FD7: which should you buy?

Specs, scores and condensed review verdicts for the Anker Sleep A30 vs FiiO FD7, side by side. Where a product has no HearWiki score yet, not enough reviews have been aggregated to rate it.

Score breakdown

Each axis is a 0–10 blend of what reviewers scored, not a lab measurement.

FiiO FD7 leads on 3 of 4 measures.

  • Anker Sleep A30
  • FiiO FD7
HearWiki score
-
84
Sound
-
8.5
Value
-
7.0
Price (USD)
$280
$450

Specifications

Sleep A30FD7
Type
Wired IEMs
Wired IEMs
Price (USD)
$280
$450
HearWiki score
Not scored
84
Released
2024
2023
Driver
4.6 mm driver
12 mm dynamic
Driver type
-
dynamic
Driver size
4.6 mm
12 mm
Drivers per side
-
1
Frequency response
-
10 Hz - 40 kHz
Impedance
-
50 Ω
Sensitivity
-
111 dB/mW
Bluetooth
5.3
-
Codecs
SBC, AAC
-
Multipoint pairing
No
-
Wireless range
10 m
-
Battery life
10 h
-
Battery life (ANC on)
9 h
-
Battery incl. case
45 h
-
Wireless charging
No
-
Active noise cancelling
Yes
No
Companion app
Yes
-
Custom EQ
Yes
-
Wear detection
No
-
Controls
touch
buttons
Weight
-
11 g
Water resistance
IPX4
-
Detachable cable
-
Yes
USB-C
Yes
-
Connector
-
MMCX
Microphones
1
-

What reviewers said

Anker Sleep A30

No summary yet - we haven't aggregated enough reviews.

FiiO FD7

The FiiO FD7 is a wired, flagship-grade in-ear monitor built around a single 12mm pure beryllium dynamic driver, housed in a semi-open design. It offers a spacious, refined sound with clean tonality, strong dynamics, and impressive detail retrieval, supported by a modular cable and tuning accessories. While easy to drive from most sources, its premium price and semi-open nature mean it targets enthusiasts seeking a high-end, natural presentation rather than casual listeners.

  • Pro:Excellent clarity and natural tonal balance
  • Pro:Wide, well-defined soundstage with strong imaging
  • Pro:Highly resolving with good dynamics and detail
  • Con:Lacks noise isolation due to semi-open design
  • Con:Premium price may not suit budget-focused buyers
  • Con:Requires burn-in or source matching for best results

Summaries are AI-condensed and paraphrased from published reviews and specs - not original hands-on testing. More on our method.

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