Which AI music models produce the most preferred songs with vocals? Artificial Analysis vocal board snapshot (23 Oct 2026)

Closes the open follow-up on the vocal music board (the instrumental board was captured earlier). AA-Music-Vocal v1.1, pairwise human-preference Elo anchored at MiniMax Music 3.0 = 1000, about 2,600-2,800 samples per model, 95% intervals about +/-19-20. Ranking: 1-2 Suno v6 1147 and Suno v6-mini 1130 (statistically tied top pair); 3 Mureka V9.5 1106; 4-6 Mureka V9 1059, Lyria 3 Pro 1051, Lyria 3.5 1051; 7 Eleven Music v2.5 1013; then a tied cluster MiniMax Music 3.0 1000, Eleven Music v2 997, MiniMax Music 2.6 997, Eleven Music 997, MiniMax Music 2.5+ 987; Melodia v3 970. Practical reading: rank ranges matter more than single ranks - the cheaper Suno v6-mini is statistically indistinguishable from Suno v6 here; Lyria 3.5 did not beat Lyria 3 Pro. Preference is not licensing: commercial-use terms and training-data/copyright risk differ by provider (see creator observation of memorised-sounding songs in C3-B393-02) and must be checked separately; prices not captured on this page. Curator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Dated leaderboard snapshot from a benchmark operator; preference Elo is not validation of fitness for a task. Limitations: Single snapshot; arena prompts and rater pool not inspected; boards change frequently. Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

{
  "citations": [
    {
      "url": "https://artificialanalysis.ai/music/leaderboard/vocals",
      "note": "row 1; row 8"
    }
  ]
}