# MiniMax Music 3.0 — Atlas Cloud API

> MiniMax Music 3.0 is MiniMax's 11.1B-parameter open-weights music model that turns a musical description and optional lyrics into a complete, fully arranged and mixed song of up to five minutes - vocals, instrumentation and production included - in a single generation, with section-tag control over the arrangement and vocal or instrumental output.

This is the machine-readable API reference for **MiniMax Music 3.0** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `minimax/music-3.0`
- **Built by**: MiniMax
- **Modality**: Audio
- **Model page**: https://www.atlascloud.ai/models/minimax/music-3.0
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.15 per generation
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_audio` with `model: "minimax/music-3.0"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas models get minimax/music-3.0 --json
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateAudio` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `minimax/music-3.0`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  Model name.
  - Default: `"minimax/music-3.0"`

- **`prompt`** (`string`, _optional_):
  Musical description of the song: genre, mood, scenario, tempo, key, instrumentation, vocal timbre and delivery, and production character, e.g. "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm". Max 2000 chars. Required when is_instrumental is true, and when lyrics is empty and lyrics_optimizer is true.
  - Default: `""`

- **`is_instrumental`** (`boolean`, _optional_):
  Generate instrumental music only (no vocals). When true, lyrics are ignored and only prompt is used.
  - Default: `false`

- **`lyrics_optimizer`** (`boolean`, _optional_):
  Let the model write the lyrics from the prompt. Requires a non-empty prompt and an empty lyrics field; it cannot be combined with lyrics you supply yourself. Only takes effect when is_instrumental is false.
  - Default: `false`

- **`lyrics`** (`string`, _optional_):
  Song lyrics. Separate lines with a newline; use a blank line for a pause. Supports section structure tags on their own line (e.g. [Verse], [Chorus]) to control the arrangement of the song. Max 3500 chars. Required unless is_instrumental is true, or lyrics_optimizer is true and prompt is non-empty, in which case the model writes the lyrics from the prompt and this field must be left empty.
  - Default: `""`

- **`format`** (`string`, _optional_):
  Output audio format.
  - Default: `"mp3"`
  - Options: "mp3", "wav", "pcm"

- **`sample_rate`** (`integer`, _optional_):
  Output sample rate (Hz).
  - Default: `44100`
  - Options: 16000, 24000, 32000, 44100

- **`bitrate`** (`integer`, _optional_):
  Output bitrate (bps). Applies to the mp3 format only.
  - Default: `256000`
  - Options: 32000, 64000, 128000, 256000

- **`enable_sync_mode`** (`boolean`, _optional_):
  If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
  - Default: `false`

- **`enable_base64_output`** (`boolean`, _optional_):
  If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "model": "minimax/music-3.0"
}
```


**Full Example**:

```json
{
  "model": "minimax/music-3.0",
  "prompt": "",
  "is_instrumental": false,
  "lyrics_optimizer": false,
  "lyrics": "",
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000,
  "enable_sync_mode": false,
  "enable_base64_output": false
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):
  HTTP status code of the response.

- **`message`** (`string`, _optional_):
  Human-readable message; non-empty on failure.

- **`data`** (`object`, _optional_):
  - Properties:
    - **`id`** (`string`, _optional_):
      Unique identifier for the prediction.

    - **`model`** (`string`, _optional_):
      Model ID used for the prediction.

    - **`outputs`** (`array[string]`, _optional_):
      Array of URLs to the generated content. Null when status is not completed.

    - **`urls`** (`object`, _optional_):
      Object containing related API endpoints.
      - Properties:
        - **`get`** (`string`, _optional_):
          URL to poll for the prediction result.


    - **`status`** (`string`, _optional_):
      Status of the task: created, processing, completed, timeout, or failed.

    - **`created_at`** (`string`, _optional_):
      ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

    - **`error`** (`string`, _optional_):
      Error message if the task failed, empty string otherwise.

    - **`error_code`** (`integer`, _optional_):
      Error code if the task failed.

    - **`executionTime`** (`number`, _optional_):
      Total execution time in milliseconds.

    - **`timings`** (`object`, _optional_):
      Detailed timing breakdown.
      - Properties:
        - **`inference`** (`number`, _optional_):
          Inference time in milliseconds.





**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": {
    "id": "",
    "model": "",
    "outputs": [
      ""
    ],
    "urls": {
      "get": ""
    },
    "status": "",
    "created_at": "",
    "error": "",
    "error_code": 0,
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  }
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateAudio" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "minimax/music-3.0",
  "prompt": "",
  "is_instrumental": false,
  "lyrics_optimizer": false,
  "lyrics": "",
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000,
  "enable_sync_mode": false,
  "enable_base64_output": false
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/minimax/music-3.0)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

### MiniMax Music 3.0

**Developer:** MiniMax
**Model ID:** `minimax/music-3.0`
**Release Date:** August 13, 2026

#### Overview

MiniMax Music 3.0 is MiniMax's next-generation, open-weights music model. It takes a musical description and (optionally) lyrics and returns a **complete, finished song of up to five minutes in a single generation** — composed, arranged, performed, and produced. There is no separate melody step, no stem assembly, and no post-production pass: one request yields a mixed track with lead vocals, harmonies, and full instrumental backing.

The model's design goal is expressive fidelity over the length of a whole song. Where earlier text-to-music systems tend to drift — losing the mood, the groove, or the vocal identity somewhere after the first chorus — Music 3.0 is built to understand a creator's intent and then sustain that intent from intro to outro, with instruments that sound physically played and vocals that sound performed rather than synthesized.

#### The Music 3.0 Model

Music 3.0 is an approximately **11.1B-parameter** system assembled from four specialized components rather than one monolithic network. Each stage handles a different scale of musical information.

##### Architecture

**Hierarchical audio tokenizer (8-layer RVQ).** Music is represented with eight layers of residual vector quantization. The first layer, backed by a 16,384-entry codebook, carries core semantics and musical structure; the remaining seven layers, each with a 1,024-entry codebook, progressively encode acoustic residuals. This separation is what lets the model reason about song-level form independently of fine timbral detail.

_(Description truncated. Full text on the model page.)_

---

Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/minimax/music-3.0 · Docs: https://www.atlascloud.ai/docs