About Suno
Suno is an AI generative-audio company headquartered in Cambridge, Massachusetts. Their mission is to build models and tools for music and creative audio generation so that creators can generate high-fidelity pieces and new forms of expression via AI.
Performance
Recent Gateway performance across models from Suno.
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Performance metrics will appear after this lab’s models serve Gateway traffic.
Latest models
Recent releases with availability, context, pricing, and usage details.
Suno V6 Wild is Suno's exploratory v6 music model. Suno describes it as less predictable and more varied, producing unexpected, textured, and ambitious results, and makes it available to Pro and Premier subscribers.
Suno V6 is Suno's flagship v6 music-generation model. It is described as reliable and precise, with polished music generation across genres and styles, and is available to Pro and Premier subscribers.
Suno V6 Mini is the faster, more efficient member of Suno's v6 music-model generation. Suno says it is available to everyone and makes it easier to turn an idea into a song.
Suno v5.5 is a proprietary music-generation model with improved expressiveness and support for personalized Voices and Custom Models in Suno's product.
Suno v4.5-all is a proprietary music-generation model released as Suno's free model, with richer, fuller, and more dynamic output.
Suno v5 is a proprietary music-generation model with clearer audio, more natural vocals, improved creative control, and stronger genre understanding.
Suno v4.5+ is a proprietary music-generation model associated with Suno's Add Vocals and Add Instrumental production tools.
Suno v4.5 is a proprietary music-generation model with richer vocals, improved genre accuracy and prompt interpretation, and initial songs up to eight minutes.
Suno v4 is a proprietary music-generation model with cleaner audio, sharper lyrics, and more dynamic song structures.
Suno v3.5 is a proprietary music-generation model that introduced four-minute initial generations, two-minute extensions, and improved song structure and vocal flow.
Around the web
Official profiles, research, and community channels.
