Suno Prompts Complete Guide: A Systematic Suno Prompt Guide from Beginner to Advanced
- Suno
- Suno prompts
- AI music
- Suno tutorial
- prompt guide
When creating music with Suno, the quality of your prompts directly determines the output. This article compiles a systematic Suno prompting methodology, covering version parameters, style tags, universal formulas, and common pitfalls to help you get started quickly and avoid detours.
1. Suno Versions and Core Parameters
Suno’s model versions iterate quickly, and differences in audio quality, vocal naturalness, and prompt capacity are significant across versions. Here is a summary of current mainstream versions:
| Version | Code (mv) | Release | Prompt Limit | Max Duration | Features |
|---|---|---|---|---|---|
| v5.5 | chirp-fenix | 2026.03 | 5000 chars | 8 min | Latest, best audio quality |
| v5 | chirp-crow | 2025.09 | 5000 chars | 8 min | More natural vocals |
| v4.5+ | chirp-bluejay | 2025.07 | 5000 chars | 8 min | Optimized |
| v4.5 | chirp-auk | 2025.05 | 5000 chars | 4 min | Stable |
| v4 | chirp-v4 | 2024.12 | 3000 chars | 150 sec | Current mainstream |
1.1 Core Parameters
When calling the Suno API or filling in parameters, these fields are the most critical:
{
mv: "chirp-v4", // Model version
prompt: "lyrics content", // Lyrics (leave empty for instrumental)
tags: "pop, emotional", // Style tags, comma-separated
title: "My Song", // Song title
make_instrumental: false, // true = instrumental, false = with vocals
negative_tags: "" // Styles to exclude
}
1.2 Four Generation Modes
| Mode | Use Case | Key Parameters |
|---|---|---|
| Standard | Create from scratch | custom_mode: true |
| Continue | Extend a song | continue_at, continue_clip_id |
| Cover | Cover/rewrite lyrics | cover_clip_id |
| Persona | Fixed vocal style | persona_id |
2. Prompt Quick Reference
2.1 Universal (Reliable)
The core idea can be summarized as: Style + Mood + Tempo + Instruments + Scene.
Template (copy and replace bracketed content):
[Style] [Mood] [Tempo] track with [Instruments], [Scene description]
Ready-to-use examples:
| Scene | Prompt |
|---|---|
| Modern Pop | Upbeat modern pop track, bright and confident mood, mid-to-fast tempo, crisp drums, clean synth layers, catchy melodic hook |
| Indie Pop | Indie pop vibe, warm and optimistic mood, mid-tempo, soft guitars and gentle synths, airy production |
| Electronic Groove | Polished electronic groove, energetic but not aggressive, steady driving rhythm, modern synth bass, tight percussion |
| Piano Ballad | Emotional piano-led track, reflective and tender mood, slow tempo, soft strings, minimal drums, cinematic ambience |
| Ambient Soundscape | Calm ambient soundscape, peaceful and spacious, slow tempo, evolving pads, subtle textures, gentle transitions, no vocals |
| High Energy | High-energy hype track, intense and bold, fast tempo, heavy drums, aggressive synth bass, punchy mix, big drop feel |
2.2 Scene-Specific
| Scene | Prompt |
|---|---|
| YouTube BGM | Instrumental background music for a YouTube video, calm and engaging, mid-tempo, minimal lead melody, clean unobtrusive mix |
| Game Loop | Game background loop, adventurous and playful mood, mid-tempo, clear repeating motif, light percussion, seamless loop-friendly structure |
| Podcast Intro | Podcast intro music, modern and upbeat, short and punchy, clean drums and synths, strong hook, polished studio sound |
| Short Video BGM (30-45s) | Short 30-second track for social media videos, energetic and engaging from the start, no long intro, memorable hook in first 5 seconds, no lyrics |
| Movie Trailer | Epic cinematic trailer music, building tension, orchestral swells, big percussion hits, dramatic climax, cinematic strings and brass |
3. Universal Formula and Meta Tags
3.1 Five-Element Method
Prompts should not be long for the sake of length; each part must clearly tell Suno what you want. Break it down into five elements:
| Element | Role | Examples |
|---|---|---|
| Vocals | Determines singer type | male vocals, female vocals, choir, no vocals |
| Style | Highest weight, sets direction | pop, rock, edm, lo-fi |
| Mood | Affects melodic direction | cheerful, romantic, melancholic, peaceful |
| Instruments | Determines texture | piano, electric guitar, synth, strings |
| Tempo | Controls speed | slow tempo, mid-tempo, upbeat, driving |
Complete example:
Male vocals, indie pop, romantic and gentle, acoustic guitar and soft strings, mid-tempo
3.2 Meta Tag Syntax
Meta tags are wrapped in brackets [], all lowercase, and multiple tags can be written consecutively.
Basic syntax:
[Style tag][Instrument tag][Mood tag][Structure tag] Lyrics content [Structure tag] Lyrics content
Example:
[verse] I'm walking through the night
[chorus] And I feel alive
Parameterized tags:
[bpm-128] // 128 beats per minute
[bpm-90] // Slow
[key-C-minor] // C minor
[key-G-major] // G major
[time-signature-3/4] // 3/4 time (waltz)
[time-signature-4/4] // 4/4 time (default)
3.3 Common Meta Tags Quick Reference
Structure tags:
| Tag | Meaning |
|---|---|
[intro] | Introduction |
[verse] | Verse |
[pre-chorus] | Pre-chorus |
[chorus] | Chorus (climax) |
[bridge] | Bridge (transition) |
[interlude] | Interlude |
[outro] | Outro |
Vocal tags:
| Tag | Meaning |
|---|---|
[male-vocals] | Male vocals |
[female-vocals] | Female vocals |
[choir] | Choir |
[harmony] | Harmony |
[falsetto] | Falsetto |
[rap] | Rap |
[growl] | Growl/metal voice |
[whisper] | Whisper |
[spoken-word] | Spoken word |
[no-vocals] | Instrumental |
Mood tags:
| Tag | Chinese | Use Case |
|---|---|---|
[uplifting] | Positive | Motivational, upbeat |
[melancholic] | Melancholy | Sad, nostalgic |
[dark] | Dark | Suspense, deep |
[dreamy] | Dreamy | Ambient, relaxing |
[intense] | Intense | Action, climax |
[nostalgic] | Nostalgic | Retro, memories |
[romantic] | Romantic | Love, warm |
[aggressive] | Aggressive | Rock, metal |
[peaceful] | Peaceful | Meditation, sleep |
4. Genre/Style Tags
4.1 By Category
| Category | Available Tags |
|---|---|
| Pop | pop, indie pop, synthpop, electropop, k-pop, j-pop |
| Rock | rock, alternative rock, punk rock, hard rock, acoustic rock, post-rock |
| Electronic | edm, house, techno, trance, drum-and-bass, dubstep, lo-fi, ambient |
| Hip Hop | hip hop, trap, boom bap, drill, lo-fi hip hop, rap |
| Jazz | jazz, smooth jazz, fusion, bebop, acid jazz |
| Classical | classical, orchestral, cinematic, baroque, minimalism |
| Folk | folk, indie folk, acoustic, country, americana |
| Metal | metal, heavy metal, black metal, death metal, metalcore |
| R&B/Soul | r&b, soul, neo-soul, funk, disco |
4.2 Advanced Combinations
// Retro electronic
[synthwave][retro][bpm-128][no-vocals][driving-beat]
// Epic soundtrack
[epic][orchestral][choir][bpm-60][cinematic][strings][brass]
// Summer pop
[future-bass][bpm-110][uplifting][summer-vibes][female-vocals][synth-plucks]
// Late-night jazz
[jazz][smooth][bpm-70][piano][upright-bass][male-vocals][intimate]
5. Structure, Vocals, and Mood Tags
5.1 Structure Tags
| Chinese | English Tag | Description |
|---|---|---|
| Intro | [intro] | Song opening |
| Verse | [verse] | Narrative part, lower energy |
| Pre-chorus | [pre-chorus] | Emotional climb, connects verse to chorus |
| Chorus | [chorus] | Climax, repeated hook |
| Bridge | [bridge] | Transition, usually appears once |
| Interlude | [interlude] | Instrumental section |
| Solo | [solo] | Instrument solo (guitar/piano etc.) |
| Outro | [outro] | Song ending |
5.2 Vocal Tags
| Chinese | English Tag | Description |
|---|---|---|
| Solo | [solo vocal] | Single singer |
| Choir | [choir] | Multiple voices |
| Harmony | [harmony] | Layered vocals |
| Duet | [duet] | Two singers |
| Falsetto | [falsetto] | High falsetto |
| Rap | [rap] | Rhythmic spoken word |
| Growl | [growl] | Metal voice |
| Whisper | [whisper] | ASMR style |
| Auto-tune | [auto-tune] | Electronic vocal effect |
5.3 Mood Tags with BPM Suggestions
| Chinese | English Tags | BPM Suggestion |
|---|---|---|
| Joyful | [joyful], [cheerful], [happy] | 120-140 |
| Sad | [sad], [melancholic], [mournful] | 60-80 |
| Romantic | [romantic], [loving], [intimate] | 70-90 |
| Tense | [tense], [suspenseful], [urgent] | 130-160 |
| Calm | [calm], [peaceful], [relaxing] | 60-80 |
| Epic | [epic], [grandiose], [majestic] | 60-90 (slow but grand) |
| Dreamy | [dreamy], [ethereal], [floating] | 70-100 |
| Dark | [dark], [ominous], [brooding] | 70-120 |
5.4 Instrument Tags
| Category | Tags |
|---|---|
| Keys | [piano], [rhodes], [organ], [synth], [keyboard] |
| Guitar | [acoustic-guitar], [electric-guitar], [distorted-guitar], [bass] |
| Strings | [strings], [violin], [cello], [harp] |
| Wind | [saxophone], [trumpet], [flute], [horn] |
| Percussion | [drums], [percussion], [808], [trap-drums] |
6. Pitfall Guide and Advanced Tips
6.1 Common Beginner Mistakes
| Incorrect | Correct | Reason |
|---|---|---|
A nice song | upbeat pop, cheerful mood, piano and drums | Too vague, AI doesn’t understand “nice” |
pop, rock, jazz, classical mix | indie pop with jazz influences | Too many styles causes confusion |
A very very sad song | melancholic, slow tempo, minor key, piano | Avoid vague adverbs |
[lofi][bpm-150] | [lofi][bpm-80] | Lo-fi doesn’t suit high speed |
6.2 Why English Prompts Are Recommended
Tests show that Suno understands English music semantics more maturely. Running the same request in both Chinese and English, English prompts yield more stable styles and more accurate moods.
Recommendations:
- Use English for style tags
- Use English for mood words
- If your English is limited, try mixing “Chinese scene description + core English tags”
6.3 Prompt Optimization Techniques
Technique 1: Change one variable at a time
Fix a prompt that works reliably, then change only one word at a time and observe the difference.
// Base version
Upbeat pop, cheerful mood, piano and drums, mid-tempo
// Only change mood
→ Upbeat pop, romantic mood, piano and drums, mid-tempo
// Only change instrument
→ Upbeat pop, cheerful mood, acoustic guitar, mid-tempo
Technique 2: Define style first, then add details
// Step 1: Write only style to confirm direction
Pop rock
// Step 2: Add mood
Pop rock, energetic
// Step 3: Add instruments
Pop rock, energetic, distorted guitar and driving drums
// Step 4: Full version
Pop rock, energetic mood, distorted guitar, driving drums, male vocals, fast tempo
Technique 3: Use negative tags to exclude unwanted elements
A pop song with piano, no heavy drums, no electronic sounds, no rap
6.4 Prompt Length Suggestions
| Type | Best Length | Example |
|---|---|---|
| Minimal | 3-5 words | upbeat pop, piano |
| Standard | 10-15 words | Male vocals, indie pop, romantic mood, acoustic guitar, mid-tempo |
| Detailed | 20-30 words | Includes style + mood + instruments + tempo + vocals + scene |
Keep it under 50 words; too much information makes it hard for the model to focus.
7. Complete Prompt Structure Template
If you prefer starting from lyrics, here is a complete structure template:
[intro] [Style] [Mood] instrumental intro with [Instruments]
[verse] [Vocals] [Style] [Mood] [Tempo]
[First verse lyrics - optional]
[chorus]
[Vocals] [Style] [Mood] [Instruments] higher energy
[Chorus lyrics - optional]
[bridge]
[Instruments] solo, [Mood] mood
[outro]
[Instruments] fade out, [Mood] ending
Full example:
[intro] Ambient synth pads, peaceful mood, slow tempo
[verse] Female vocals, indie pop, intimate and tender, soft piano and gentle strings
[chorus] Female vocals, indie pop, uplifting and bright, full band with drums, higher energy
[bridge] Piano solo, reflective mood
[outro] Strings fade out, peaceful ending, no drums
8. Final Thoughts
Suno’s prompting capabilities are still evolving. The core idea of this guide is: give the model clear, structured instructions rather than making it guess your intent.
Start with the universal quick reference table, then gradually experiment with meta tags and advanced combinations. Change one variable at a time, and you’ll gradually learn Suno’s “personality” and create music that truly matches your expectations.