Examples for using suno-v5 through RunAPI from agent tools or API calls. Copy a prompt, then use it in Claude Code, Codex, Cursor, Windsurf, or your backend.
A silky smooth R&B slow jam with a female vocalist who has a rich, soulful alto voice. Lush pad synths and a warm sub-bass create a pillowy harmonic bed. Programmed drums with a half-time feel — crisp snare on beat three, deep 808 kick, and delicate hi-hat rolls. The vocal melody is intimate and conversational, with tasteful runs and ad-libs in the chorus. A brief interlude features a talk-box guitar solo. Tempo 68 BPM. The production is polished and modern but with analog warmth — think late-night drives with the windows down.
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",
"prompt": "A silky smooth R&B slow jam with a female vocalist who has a rich, soulful alto voice. Lush pad synths and a warm sub-bass create a pillowy harmonic bed. Programmed drums with a half-time feel — crisp snare on beat three, deep 808 kick, and delicate hi-hat rolls. The vocal melody is intimate and conversational, with tasteful runs and ad-libs in the chorus. A brief interlude features a talk-box guitar solo. Tempo 68 BPM. The production is polished and modern but with analog warmth — think late-night drives with the windows down."
}
JSON
FAQ
Using suno-v5 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.