MiniMax Music 3.0 generates complete songs from text prompts and lyrics, including vocals and instrumentals, with instrumental-only mode, auto lyrics generation, structure tags for song arrangement, and configurable audio quality. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.15per run·~66 / $10
Cinematic pop song with an emotional female lead vocal, intimate verses building into a powerful soaring chorus, warm piano, atmospheric synth pads, deep drums, subtle strings, dramatic dynamics, bittersweet but hopeful mood, polished modern production.
MiniMax Music 3.0 generates complete songs with vocals and instrumentals from a text prompt and lyrics. Describe the genre, mood, instruments, tempo, and production style, and the model creates a full track with support for structure tags, instrumental-only mode, auto lyrics generation, and configurable audio quality up to 256kbps / 44.1kHz.
Complete song generation
Generate a full song with vocals and instrumental arrangement from a prompt and lyrics.
Structure tag support
Use tags like [Verse], [Chorus], and [Bridge] to guide song structure and arrangement.
Auto lyrics generation
Leave the lyrics input empty to let the model generate lyrics automatically from the prompt.
Instrumental mode
Enable is_instrumental to generate a backing track without vocals.
Configurable audio quality
Choose bitrate and sample rate settings up to 256000 bitrate and 44100 sample rate.
Wide genre support
Generate pop, rock, folk, electronic, orchestral, lo-fi, cinematic, and other music styles from prompt instructions.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Music style description, including genre, mood, instruments, tempo, vocal style, and production direction. Maximum length: 2000 characters. |
| lyrics | Yes | Song lyrics with optional structure tags. Length: 10–3000 characters. Pass an empty value for auto-generated lyrics. |
| bitrate | No | Audio bitrate: 32000, 60000, 64000, 128000, or 256000. Default: 256000. |
| sample_rate | No | Audio sample rate: 16000, 24000, 32000, or 44100. Default: 44100. |
| is_instrumental | No | Generate instrumental music without vocals. Default: false. |
Use structure tags in the lyrics to guide arrangement and song sections:
[Intro], [Verse], [Pre Chorus], [Chorus], [Post Chorus], [Interlude], [Bridge], [Outro], [Hook], [Build Up], [Break], [Transition], [Inst], [Solo]
[Verse] and [Chorus]. Leave lyrics empty for auto-generation.bitrate and sample_rate when you need a specific delivery format.is_instrumental when you want a backing track without vocals.| Output | Cost |
|---|---|
| One generated song | $0.15 |
is_instrumental for backing tracks, music beds, or soundtrack-style output.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/music-3.0 with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Music 3.0 below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"lyrics": "example",
"bitrate": 256000,
"sample_rate": 44100,
"is_instrumental": false
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/minimax/music-3.0" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
-H "Authorization: Bearer $WAVESPEED_API_KEY")
RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$STATUS" in
completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/minimax/music-3.0";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"lyrics": "example",
"bitrate": 256000,
"sample_rate": 44100,
"is_instrumental": false
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"lyrics": "example",
"bitrate": 256000,
"sample_rate": 44100,
"is_instrumental": False
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/minimax/music-3.0", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout"}:
raise RuntimeError(result)
if status not in {"created", "processing"}:
raise RuntimeError(f"Unexpected status: {status}")
time.sleep(2)Music 3.0 is a MiniMax model for audio generation, exposed as a REST API on WaveSpeedAI. MiniMax Music 3.0 generates complete songs from text prompts and lyrics, including vocals and instrumentals, with instrumental-only mode, auto lyrics generation, structure tags for song arrangement, and configurable audio quality. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-music-3.0.
Music 3.0 starts at $0.15 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `bitrate`, `is_instrumental`, `lyrics`, `sample_rate`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/minimax/minimax-music-3.0.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (MiniMax). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.