MiniMax has released MiniMax Music 3, an open-weight model that generates structured songs from section-tagged lyrics and a written description of the sound. It produces up to five minutes of 32 kHz stereo audio, including vocals, instrumentation, and transitions between song sections. The ComfyUI package had passed 950,000 Hugging Face downloads when this article was prepared, although that counter includes file requests rather than unique installations.
Downloadable weights give developers control over deployment, quantization, fine-tuning, and data handling without tying production to a hosted API. Open-weight access still comes with a custom license, hardware costs, and responsibility for operating the generation pipeline.
The release at a glance
A song stack in four stages
Music 3 uses a hierarchical autoregressive architecture, meaning each new segment depends on earlier segments while separate models work at broad and fine time scales. This division lets the system track a song’s structure across minutes and restore acoustic detail within individual frames.
- Global planning: An 8B Global LLM initialized from Qwen3-8B tracks lyrics, themes, rhythm, vocal identity, and arrangement across the song.
- Local detail: A 0.6B Local LLM models short-range acoustic information within each frame.
- Latent synthesis: A flow-matching transformer converts the language-model states into Flow-VAE latents one chunk at a time.