Published: 10/12/2026
Source: Reddit — r/SunoAI v6 blind-listening discussion
A Suno creator posted a mixed set of human and AI-assisted tracks and asked listeners to identify which recordings used Suno, which used v6 and which vocals were generated.
The creator says the songs span multiple genres, that not every track was made with Suno and that the set includes both human and Suno vocals plus work created before and after v6. Participants began posting guesses, while other commenters described recurring concerns such as noisy vocals, reduced detail and inconsistent creative control.
The challenge has not yet produced verified results, and it is not a scientific benchmark. The creator selected the tracks, listeners were not randomly recruited, the listening conditions are uncontrolled and the ground truth had not been revealed when the thread was reviewed.
Can a Reddit listening test prove that Suno v6 is better or worse? No. It can expose listener assumptions and generate useful hypotheses, but it cannot establish model quality without controlled inputs, enough samples and disclosed answers.
Practical takeaway: Creators comparing Suno models should run the same source material through each version, loudness-match the exports, hide model names, collect independent ratings and document prompts and settings. That turns a subjective argument into evidence that can improve an individual workflow.