Suno on Wednesday released Suno v6, a new family of AI music-generation models trained on licensed catalogs from Warner Music Group, BMG and Believe, and said it will retire the older models that landed it in court. The company, which has raised over $819 million to date according to PitchBook, is trying to redraw its relationship with the labels that have been suing it over training data. Suno v6 is explicitly not trained on the datasets used for prior versions.
The launch ships in three tiers. The base Suno v6 model, aimed at controlled and steerable outputs, goes to paying users, as does Suno v6 wild, an experimental variant meant for ideation and less predictable results. Suno v6 mini, a faster and lighter model, is available to all users, paid or free.
Feature-wise, v6 introduces prompt-based editing of specific sections of a song, edits keyed off individual words in the lyrics, and the ability to use text, images or video as references when generating new tracks. Users can also isolate an instrument from a sample and build a new beat around it. Suno said it plans to add a remix feature that will let users rework songs from participating artists, provided those artists opt into a new label program that authorizes Suno to use their catalog for AI features.
Key facts
- 01Suno v6 was trained on licensed data from Warner Music Group, BMG and Believe, and does not use the training data behind prior versions.
- 02The release ships in three tiers: v6 (paid), v6 wild (paid, experimental) and v6 mini (free), with older Suno models set to be retired.
- 03Suno has raised over $819 million to date, per PitchBook, despite ongoing lawsuits from Sony, Universal Music Group and artist Jason Isbell.
- 04The launch lands one day after Suno admitted to training earlier models on YouTube videos.
Jack Brody, Suno's chief product officer, framed the derivative-work push as revenue upside for rights holders rather than a defensive move.
“I think the music ecosystem and our partners are always looking for ways to create more revenue opportunities for their rights holders and artists. So a big part of this release is creating additional revenue streams there.”— Jack Brody, Suno Chief Product Officer
The commercial logic tracks with where Suno's legal exposure has been most acute. The company settled with Warner Music Group last year and cut a deal with BMG last month, and the v6 launch effectively converts those relationships into a supply chain. By retiring the older models, Suno is also removing the artifact that the outstanding lawsuits are targeting, which changes the shape of any future damages calculation.
The legal fight is far from over. Suno still faces active litigation from Sony and Universal Music Group, from artist Jason Isbell, and from users who allege the company cut corners on security in pursuit of growth. The v6 announcement also landed a day after Suno acknowledged that earlier models were trained on YouTube videos, a disclosure that will not help its position with rights holders who have not yet settled.
Alongside the model release, Suno pointed to prior moves aimed at cleaning up downstream use of its outputs. Last month it said it would add watermarks to generated songs, and it recently introduced tier-based download limits designed to curb bulk exports to streaming distributors.
“We can help manage some of the broader ecosystem challenges like streaming fraud and kind of mass exportation and uploading to distributors that are low intent. At the end of the day, we think it is up to the distributors and the platforms to govern what content goes on there.”— Jack Brody, Suno Chief Product Officer
The watermark and download-cap posture puts responsibility for policing generated tracks on the distribution layer, not on Suno, even as the company positions itself as the licensed-and-legitimate option in a market where the definition of legitimate is still being litigated.
The competitive frame matters. AI music generation has been the single messiest copyright fight in generative AI, with plaintiff labels arguing that training on commercial catalogs without a license is straightforward infringement. A licensed model with named label partners is a materially different product to sell to a Warner or a BMG than a black-box trained on scraped audio, and Suno is now the first well-funded music model to make that pivot openly.
The catch is that licensed training data is expensive, and the labels that hold out — Sony and Universal, the two largest — hold most of the catalog. Suno v6 can be the licensed model in the market and still be a licensed model that is missing the majority of recorded music. Whether the remaining suits push those labels toward a deal or toward a verdict will determine whether v6 is a template for the industry or a partial retreat.
For a company that has raised $819 million on the premise that AI-generated music is a mass-market product, converting label plaintiffs into training-data suppliers is the only path that keeps the business intact. Suno v6 is the first product built end-to-end around that bet, and the Sony and Universal cases will decide whether the bet was early or wrong.
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