Suno Launches v6 Music AI, Built on Licensed Label Data
Suno launched its v6 AI music model family, trained on licensed data from Warner Music, BMG and Believe. Image: Marcela Laskoski / Unsplash
AI & Machine Learning

Suno Launches v6 Music AI, Built on Licensed Label Data

Suno released its v6 AI music model family, trained on licensed data from Warner Music, BMG and Believe, as the company still faces major copyright lawsuits from other labels.

By Daniel Mercer • 3 mins read Edited by Maria Konash Published: Updated:

Key Notes

  • Suno launched v6, a three-model family (v6, experimental v6-wild, free v6-mini), which it says was trained on licensed data from Warner Music Group, BMG and Believe.
  • Key new feature: targeted in-place editing (swap a chorus, change a lyric line, add a chorus) without full regeneration, plus expanded multimodal inputs (text, audio, images, video, voice notes).
  • The launch comes amid major unresolved lawsuits from Sony, Universal Music Group and artist Jason Isbell, and a day after Suno admitted training on YouTube audio. .

AI music generator Suno unveiled a new model family called v6 on Wednesday. The company says it was developed using licensed data from music labels and distributors, including Warner Music Group, BMG and Believe.

That licensing detail matters given Suno’s legal history. Record labels have filed multiple lawsuits accusing the startup of training its models on copyrighted music without permission.

Suno settled with Warner Music Group last year and struck a partnership deal with BMG last month. The company says v6 was not trained on the same data used for its earlier model versions.

Three versions are launching. The base v6 model, for paying users, is pitched as reliable and steerable for controlled results. v6-wild, also for paying users, is an experimental model meant for ideation and unpredictable output. v6-mini is a faster, free version available to all users. Suno plans to retire its older models.

The headline new capability is targeted, in-place editing. Rather than regenerating an entire track, users can prompt changes to a specific section, swap a single lyric line, add a chorus, or rework one segment while leaving the rest intact.

The model family also broadens what can be used as a creative reference, accepting text, images and video alongside audio, and lets users isolate an instrument from a sample to build a new beat around it.

Suno also plans to let users remix existing songs, but only through a new opt-in program with music labels that lets artists choose whether their songs can be used for AI-generated derivative works. Chief product officer Jack Brody framed this as a new revenue stream for rights holders, telling TechCrunch that “a big part of this release is creating additional revenue streams” for labels and artists.

Suno also recently said it plans to add watermarks to AI-generated songs and has introduced tiered download limits, moves Brody described as ways to help manage broader problems like streaming fraud and mass low-effort uploads to distributors.

Unresolved Legal Fights Remain

Suno’s licensing deals with Warner and BMG resolve only part of its legal exposure. The company still faces active lawsuits from Sony Music and Universal Music Group, along with a suit from musician Jason Isbell, all alleging mass copyright infringement in how Suno’s earlier models were trained.

A separate class-action suit accuses the company of neglecting security while pursuing growth, following a reported large-scale, unreported data breach. The v6 announcement also lands one day after Suno acknowledged it had obtained YouTube audio to train its models, while separately challenging whether Universal and Sony have legal standing to bring stream-ripping claims against it.

Despite this ongoing litigation, Suno has raised more than $819 million in funding to date, according to PitchBook, underscoring how investor appetite for AI music generation has continued even as the legal questions around training data remain unresolved industry-wide.

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