Suno launches V6 model with revenue sharing agreements for major music labels

Suno has launched its new audio generation model, V6, which operates in collaboration with major music labels and includes a revenue-sharing mechanism for those partners. The release marks a significant shift in the company's operational strategy following previous legal disputes over copyright infringement. Suno reported that the new model incorporates a rights management system designed to prevent the imitation of audio or music from artists affiliated with the partner labels. As part of this arrangement, Suno is required to pay a share of its revenue to the music labels involved in the partnership. This agreement reportedly provides a level of safety for users who create music with V6, as the partner labels have agreed not to sue for commercial use of the generated content.

However, specific details regarding the exact percentage of revenue deducted from creators have not yet been disclosed. The partnership currently includes Warner Music Group, BMG, and Believe. Suno has not yet reached agreements with Universal Music Group or Sony Music, and legal disputes with these two entities reportedly remain ongoing. The V6 model is available in three distinct tiers. The top-tier version, simply labeled v6, supports all types of musical work and is available to users on paid packages. The v6-wild tier is designed for experimental music creation, where commands may yield unpredictable results, and is also restricted to paid users. The v6-mini tier features a smaller model that operates quickly and is available for free use, with the company asserting that it is currently the best free model available.

The announcement of the partnership with Believe and its self-release platform, TuneCore, was made on September 8, 2026. The source outlet, Blognone, reported the story, noting that the development was previously announced earlier in the year. The new model aims to address prior concerns raised by the music industry regarding the use of copyrighted material in AI-generated audio.