MODEL PROMPTS

suno-v5.5 Prompts — 51 curated examples

Examples for using suno-v5.5 through RunAPI from agent tools or API calls. Copy a prompt, then use it in Claude Code, Codex, Cursor, Windsurf, or your backend.

MODELS

suno-v5.5

Modality
Music
Provider
Suno
Endpoint
Text To Music
View model details and pricing →
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate music: "Dream pop, shimmering reverb-drenched guitars, airy ethereal female soprano, lush synth pads, nostalgic dreamy atmosphere, wide stereo, 98 BPM"
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate music: "Dream pop, shimmering reverb-drenched guitars, airy ethereal female soprano, lush synth pads, nostalgic dreamy atmosphere, wide stereo, 98 BPM"
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate music: "Dream pop, shimmering reverb-drenched guitars, airy ethereal female soprano, lush synth pads, nostalgic dreamy atmosphere, wide stereo, 98 BPM"
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate music: "Dream pop, shimmering reverb-drenched guitars, airy ethereal female soprano, lush synth pads, nostalgic dreamy atmosphere, wide stereo, 98 BPM"
curl -X POST https://runapi.ai/api/v1/suno/text_to_music \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "suno-v5.5",
  "prompt": "Dream pop, shimmering reverb-drenched guitars, airy ethereal female soprano, lush synth pads, nostalgic dreamy atmosphere, wide stereo, 98 BPM"
}
JSON
import { SunoClient } from "@runapi.ai/suno";

const client = new SunoClient({
  apiKey: process.env.RUNAPI_API_KEY,
});

const result = await client.textToMusic.run({
  "model": "suno-v5.5",
  "prompt": "Dream pop, shimmering reverb-drenched guitars, airy ethereal female soprano, lush synth pads, nostalgic dreamy atmosphere, wide stereo, 98 BPM"
});
console.log(result.id);
require "runapi/suno"

client = RunApi::Suno::Client.new
result = client.text_to_music.run(
  model: "suno-v5.5",
  prompt: "Dream pop, shimmering reverb-drenched guitars, airy ethereal female soprano, lush synth pads, nostalgic dreamy atmosphere, wide stereo, 98 BPM"
)
puts result.id
package main

import (
  "context"
  "fmt"
  "log"
  "net/http"
  "os"
  "strings"
)

func main() {
  body := strings.NewReader("{\"model\":\"suno-v5.5\",\"prompt\":\"Dream pop, shimmering reverb-drenched guitars, airy ethereal female soprano, lush synth pads, nostalgic dreamy atmosphere, wide stereo, 98 BPM\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/suno/text_to_music", body)
  if err != nil {
    log.Fatal(err)
  }

  req.Header.Set("Authorization", "Bearer "+os.Getenv("RUNAPI_API_KEY"))
  req.Header.Set("Content-Type", "application/json")

  resp, err := http.DefaultClient.Do(req)
  if err != nil {
    log.Fatal(err)
  }
  defer resp.Body.Close()

  fmt.Println(resp.Status)
}
suno-v5.5 /api/v1/suno/text_to_music Get API Key
MU
Music
orchestral suno-v5.5

Epic orchestral trailer music

Cinematic orchestral trailer music that builds from quiet tension to massive climax. Opens with a solo cello playing a haunting four-note motif over low sustained strings. Gradually adds timpani rolls, French horns playing the motif in canon, and a snare drum military rhythm. At the midpoint, the full orchestra explodes with brass fanfare, crashing cymbals, and a powerful choir singing wordless syllables. Massive taiko drums drive the rhythm in the final section. The piece ends with a sudden silence followed by a single deep piano note that rings out and fades.

View API Code
curl -X POST https://runapi.ai/api/v1/suno/text_to_music \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "suno-v5.5",
  "prompt": "Cinematic orchestral trailer music that builds from quiet tension to massive climax. Opens with a solo cello playing a haunting four-note motif over low sustained strings. Gradually adds timpani rolls, French horns playing the motif in canon, and a snare drum military rhythm. At the midpoint, the full orchestra explodes with brass fanfare, crashing cymbals, and a powerful choir singing wordless syllables. Massive taiko drums drive the rhythm in the final section. The piece ends with a sudden silence followed by a single deep piano note that rings out and fades."
}
JSON
MU
Music
funk suno-v5.5

Funk groove with slap bass

A tight, head-nodding funk groove centered around a virtuosic slap bass riff. The bass alternates between percussive thumb slaps on the low E and popping octaves on the G string in a 16th-note pattern. Clavinet plays choppy rhythm chords with auto-wah filter sweeps. Drums lay down a deep pocket groove with ghost notes on the snare and an open hi-hat on the and-of-four. A muted trumpet plays staccato horn stabs on the one of every other measure. Tempo 100 BPM. Raw and unpolished recording feel, like a live jam session captured on analog tape.

View API Code
curl -X POST https://runapi.ai/api/v1/suno/text_to_music \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "suno-v5.5",
  "prompt": "A tight, head-nodding funk groove centered around a virtuosic slap bass riff. The bass alternates between percussive thumb slaps on the low E and popping octaves on the G string in a 16th-note pattern. Clavinet plays choppy rhythm chords with auto-wah filter sweeps. Drums lay down a deep pocket groove with ghost notes on the snare and an open hi-hat on the and-of-four. A muted trumpet plays staccato horn stabs on the one of every other measure. Tempo 100 BPM. Raw and unpolished recording feel, like a live jam session captured on analog tape."
}
JSON
MU
Music
indie-pop suno-v5.5

Upbeat indie pop for podcast intro

A bright, catchy indie pop instrumental perfect for a tech podcast intro. Hand-claps and stomps establish a four-on-the-floor rhythm. Jangly electric guitar plays an arpeggiated chord pattern through a clean amp with light chorus. A whistled melody carries the main hook — simple, memorable, and optimistic. Glockenspiel doubles the melody an octave up during the second phrase. Bass guitar provides bouncy root-fifth movement. The track should feel complete in 30 seconds — quick intro, hook, and a clean ending on a sustained chord. Tempo 118 BPM. The vibe is friendly, smart, and welcoming.

View API Code
curl -X POST https://runapi.ai/api/v1/suno/text_to_music \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "suno-v5.5",
  "prompt": "A bright, catchy indie pop instrumental perfect for a tech podcast intro. Hand-claps and stomps establish a four-on-the-floor rhythm. Jangly electric guitar plays an arpeggiated chord pattern through a clean amp with light chorus. A whistled melody carries the main hook — simple, memorable, and optimistic. Glockenspiel doubles the melody an octave up during the second phrase. Bass guitar provides bouncy root-fifth movement. The track should feel complete in 30 seconds — quick intro, hook, and a clean ending on a sustained chord. Tempo 118 BPM. The vibe is friendly, smart, and welcoming."
}
JSON
FAQ

Using suno-v5.5 prompts

What is %{model}?

%{model} is available through RunAPI as part of the unified model catalog. These prompts show practical input patterns that agents and backend services can reuse.

How do I use these prompts?

Copy any prompt and paste it into Claude Code, Codex, Cursor, or Windsurf after installing the RunAPI MCP Server. Developers can also copy the API example and send the prompt directly.

Do these prompts cost money to browse?

Browsing and copying prompt examples is free. Generation requests only cost money when you call a RunAPI model with your API key.

Can I adapt the prompts for production?

Yes. Treat each prompt as a starting point, then add your brand rules, output dimensions, safety constraints, and application-specific context before using it in production.