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.
An energetic synthwave track that sounds like driving a neon-lit highway at midnight in 1985. Pulsing analog synthesizer bassline with sidechain compression. Bright arpeggiated lead synth playing a catchy, uplifting melody. Gated reverb snare drums and electronic kick on every beat. A soaring guitar solo enters halfway through, drenched in chorus and delay. Tempo 120 BPM. Build to an anthemic chorus with layered pads and octave-doubled melody. The mood is nostalgic, triumphant, and cinematic.
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": "An energetic synthwave track that sounds like driving a neon-lit highway at midnight in 1985. Pulsing analog synthesizer bassline with sidechain compression. Bright arpeggiated lead synth playing a catchy, uplifting melody. Gated reverb snare drums and electronic kick on every beat. A soaring guitar solo enters halfway through, drenched in chorus and delay. Tempo 120 BPM. Build to an anthemic chorus with layered pads and octave-doubled melody. The mood is nostalgic, triumphant, and cinematic."
}
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.