Suno’s new v6 AI music model marks its first collaboration with the record industry. Company representative Jack Brody informed *The Verge* that v6 was “trained from the ground up, utilizing a fresh dataset distinct from previous models.” This data incorporates licensed content from partners Warner Music Group, BMG, and Believe, along with “user data.” It remains ambiguous whether this new dataset excludes content obtained through dubious means.
One of the significant shifts in v6 is the introduction of three distinct models: v6, v6-wild, and v6-mini. The mini version is available free to all users, prioritizing speed and low resource usage, often resulting in simpler outputs with visible AI artifacts. The v6-wild model aims for unpredictability, described by Brody as being for “happy accidents and natural imperfections,” though practical testing suggests little difference between wild and the standard v6.
The models exhibit a vastly improved understanding of musical genres. Prompts for “hyperpop” or “krautrock” that previously failed with earlier versions now yield tracks that accurately capture the superficial characteristics of the requested styles.
Despite these advancements, v6 fails to replicate “natural imperfections.” As seen with v5, attempts to generate off-key, out-of-tune, or dissonant audio consistently fail. The model adheres strictly to harmonic and rhythmic perfection, ignoring prompts for monotone vocals or haphazard playing. It does, however, retain the artificial imperfections of AI, with vocals displaying harsher artifacts compared to v5.
Under the hood, v6 introduces features that alter user interaction. Users can now edit song segments using plain language in a chat interface, allowing for changes to specific elements like lyrics or guitar lines without regenerating the entire track. Additionally, v6 can blend multiple outputs from a user's library and accepts prompts beyond text, including images, video, or other audio.
Suno v6 is rolling out today, with the company announcing plans to retire previous models.
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