Suno vs Udio: How to Objectively Evaluate Raw Audio Quality

July 11, 2026 · WaveGrey

"Suno or Udio, which one sounds better?" comes up a lot — but the answer by ear depends heavily on the prompt, the genre, and which model version you generated with (both move fast). A more useful comparison looks at measurable metrics that apply regardless of the generator and don't shift week to week.

The metrics that matter

• Real bandwidth — how high the highs actually go before stopping dead (often 15–16 kHz on current AI generators, versus 20–22 kHz for full-bandwidth audio).
• Clipping rate — some renders push output level very hot, at the cost of truncated peaks.
• Peak-to-loudness ratio (PLR) — a low PLR signals an already heavily compressed render, with little headroom left for further mastering.
• Stereo coherence — a phasey stereo image (low or even negative correlation) can cause problems in mono (radio, some speakers, club systems).
• Background noise / noise floor — varies by model and prompt.

Why these metrics shift with every version

Suno and Udio ship model updates regularly, and each one can move these numbers either way. A specific figure published today may no longer hold in a few months. That's why the right approach isn't memorizing a fixed ranking, but measuring each export individually — whichever tool you used.

The right practice, whichever generator you use

Whether your export comes from Suno, Udio, or another generator, the approach stays the same: objectively analyze the file before deciding what to fix, rather than applying a generic treatment "just in case." WaveGrey's Analyze module automatically measures bandwidth, clipping, PLR and stereo coherence on every upload, and classifies the source (full bandwidth / limited / strongly limited) so the Restore module only steps in where it's actually needed.