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MiniMax

MiniMax Music 2.6

minimax-music-2.6

A vocal-plus-instrumental model that generates complete songs from text, adding AI Cover-style adaptations and automatic lyric writing, with first output latency claimed to be under 20 seconds

minimax-music-2.6

Try minimax-music-2.6

Input

Lyrics

Output

Fill in the parameters and run — results show up here.

Pricing

minimax-music-2.6 per song

Unit Price $0.210

Overview

minimax-music-2.6 is MiniMax's text-to-song model, accessible through the unified HiAPI.ai interface. Enter a style prompt to generate a complete song with vocals and multi-layered instrumentation, or simply provide a prompt and let it write the lyrics automatically, or switch to instrumental-only mode to output vocal-free music. Lyrics support structural tags to control section arrangement, and the output format, bitrate, and sample rate can be specified as needed. It is suited for developers and content teams that need to produce original soundtracks, song demos, and style-adaptation material in batches.

Key Highlights

  • End-to-end complete song production — a single call returns a finished piece with vocals, instrumentation, and genre-styled mixing rather than fragmentary material, eliminating the need for multi-track assembly.
  • Lyrics can be generated automatically — a prompt alone drives the model to write lyrics and compose the song, so even without lyric-writing ability you can directly obtain a vocal work.
  • Structural tags control arrangement — use tags such as Intro, Verse, Chorus, and Bridge to divide sections and make deterministic arrangements for the song's progression.
  • Selectable output specifications — supports mp3, wav, and pcm formats, with bitrate and sample rate selectable among the tiers given in the schema, making it easy to integrate with downstream workflows.

Capabilities

Text-to-song: enter style, mood, and scene descriptions, and the model generates a complete song with vocals and multi-layered instrumentation that can be used directly as finished material or a demo.

Instrumental-only generation: after enabling instrumental mode, no lyrics are needed, and the output is a vocal-free accompaniment or instrumental piece, suitable for background music needs.

Automatic lyric writing: when the lyrics field is left empty, the model generates lyrics based on the prompt, lowering the barrier to writing from scratch; when precise control is needed, you can still provide your own lyrics.

Structured arrangement: section structure tags can be embedded in the lyrics to control the placement of intro, verse, chorus, and interlude, making the output structure better match expectations.

Controllable output parameters: audio format, bitrate, and sample rate can be specified, allowing you to choose suitable output specifications for downstream editing, distribution, or playback scenarios.

Use Cases

  • Short-video and podcast creators generate soundtracks — with style and mood descriptions as input, produce background music that can be laid directly into videos or podcasts, reducing reliance on external music libraries.
  • Songwriters validate song demos — submit style prompts and draft lyrics to quickly obtain a complete demo with vocals for validating melody and arrangement directions.
  • One-stop song production without lyric-writing ability — use a single scene description to drive automatic lyric writing and song generation, producing original tracks usable for events, advertising, or content distribution.
  • Batch production of instrumental accompaniment — enable instrumental mode to generate vocal-free accompaniment in batches, for scenarios such as voiceover, presentations, or games that need to leave room for vocals.

Limitations and Selection Advice

The lyrics field is capped at 3500 characters and the style prompt at 2000 characters; overly long content must be trimmed first. Generation results depend heavily on prompt quality, and automatically generated lyrics should be reviewed manually before use. If the need is to adapt the style of an existing song or to support interactions with extremely high real-time requirements, the current parameter capabilities do not cover such usage, and a model supporting the corresponding input form should be selected instead.

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