Create music from a written description of the mood, genre, instruments and intended use. Select V5 in the existing Suno task, then choose a simple prompt workflow or Custom Mode with a style and title. Instrumental controls guide pure-music requests; vocal preferences, style weights and an optional persona help shape custom song requests. A completed generation can return several candidate tracks, which you can listen to, compare and retrieve through the music-detail API.
Suno v5 is developed by Suno. Vidgo provides access to the model. Model names and trademarks belong to their respective owners.Open Suno v5, keep the version set to V5 and choose the workflow that matches your material. Start with a concise music description for a simple request, or prepare a complete prompt, style and title in Custom Mode.
For a simple request, set custom_mode to false and write a prompt up to 500 characters. For V5 Custom Mode, the documented limits are 5,000 characters for prompt, 1,000 for style and 80 for title. Prepare style and title for instrumental creation, or add the complete prompt for a vocal request. Select instrumental, choose any applicable vocal preference and use the optional weights or persona to describe the direction of the generation.
| Model / task | Input and workflow |
|---|---|
| Suno v5 | Suno's most advanced AI music model with studio-quality audio, authentic vocals, 10x faster generation, and up to 8-minute track support. |
The existing Suno v5 task demonstration pairs a late-night lo-fi brief with two Midnight Margins candidates. Their audio files, covers, tags and durations come from the same saved demonstration. Listen to both candidates and use the result information to understand the creative direction and organize further work.
The demonstration brief combines dreamy lo-fi hip hop, mellow piano chords, vinyl crackle and gentle drums. State the musical mood and important instruments together so the request has a clear listening purpose. Listen to the first candidate against those requested elements.
The second candidate belongs to the same saved demonstration. Listen through its structure and compare it with the first for piano phrasing, rhythmic feel and texture. Choose the candidate that best fits the intended scene or background role.
The saved result includes the title Midnight Margins and a cover for each candidate. Keep the selected audio, title and cover together when reviewing your music collection or preparing a project handoff. These are the cover assets attached to the existing audio result.
rap, Dreamy lo-fi hip hop instrumental built around mellow, detuned piano chords and soft vinyl hiss. Lazy, swung drums with brushed snares and round, woody kick; subtle sidechain to let the chords breathe. Bass is warm and humming under the mix, with distant tape delays and faint reversed textures blooming in the background. Overall low-key, panned ear-candy details that appear then drift away, perfect to loop quietly under late-night study sessions., gentle, soft, beats, lo-fi, hip hop, mellow
The existing result tags describe detuned piano, swung drums, brushed snares, a warm bass and tape-delay textures. Read those output tags as context for this demonstration. For your own Custom Mode request, prepare a style description, use style_weight from 0 to 1, and describe any style elements to reduce through negative_tags.
[
{
"audio_id": "9c980227-0062-4b36-9d83-3e337178cee8",
"title": "Midnight Margins",
"duration": 109.16
},
{
"audio_id": "c4b1c4d4-557f-49d8-9afe-536b61b560ee",
"title": "Midnight Margins",
"duration": 123.04
}
]The saved result gives each candidate its own audio_id and duration. Retrieve music details with the generation task ID, then retain the selected candidate’s audio_id for the documented follow-up tools. Its duration describes the returned track and helps you assess how it fits the project.
Both candidates below belong to the existing task demonstration and share the same displayed creative brief: mellow piano, soft vinyl crackle and gentle drums for late-night study. The saved result marks both as instrumental, with durations of 109.16 and 123.04 seconds. Listen to the complete tracks to compare the melodic development, rhythm, texture and suitability for the intended background use.
A dreamy lo-fi hip hop track with mellow piano chords, soft vinyl crackle, and gentle drum beats perfect for late night studying
A dreamy lo-fi hip hop track with mellow piano chords, soft vinyl crackle, and gentle drum beats perfect for late night studying
Write the mood, pace, instrumentation and role of the music before generating. Choose instrumental or vocal creation, listen to each returned candidate and select the track that fits the project. Use the selected audio and its identifiers when organizing assets or continuing with the available music tools.
Prepare a calm mood, gentle rhythm and instruments such as piano or soft percussion, then choose instrumental generation. Listen to the returned candidates for a background that suits a study session or focus-oriented video draft.
Describe the scene’s emotional direction, pace and desired instrumentation. Generate candidate music and review it alongside the planned sequence to develop a score direction or editing reference.
Prepare the complete prompt, style and title in Custom Mode and choose vocal creation. Add an applicable vocal-gender preference when useful, then listen to the returned tracks for the musical treatment and intended song direction.
Describe the mood, featured instruments and energy, prepare a style and title, and enable instrumental. Compare the candidates for an ambient scene, exhibition presentation or reflective content draft.
Prepare a clear brief and listen to all returned candidates. Refine the style, creative-deviation preference or prompt in a later request, then compare the new result with the direction selected previously.
Select a completed candidate, retain its task_id and audio_id, and open the relevant extension, section-replacement or audio-processing documentation. Use the required identifiers and source information to prepare the next operation.
The pricing section reads the current rate for one generation request. A finished request can include several candidate tracks; retrieve the returned files to see the actual candidates and their durations. The current task charges once for the generation request, and the listed starting rate corresponds to one request. Review the task’s current request price before submitting and budget additional creative iterations as additional requests.
| Model | Provider | Workflow | Input material | Audio output | Starting rate |
|---|---|---|---|---|---|
| Suno v5 | Suno | Music generation | Music brief; custom style, title and optional persona | Candidate audio tracks | $0.1 / generation |
Test a complete music brief online, then use the chosen workflow in your application.
Open Suno v5, select V5 and prepare the prompt, custom style and title required by your chosen mode. Choose instrumental or vocal creation, review the request price and generate. Listen to all returned candidates and review their actual durations before selecting a track.
Use the existing music task, request pricing, task documentation and generation history to connect musical exploration with API development.
For a simple request, set custom_mode to false and write a prompt up to 500 characters. For V5 Custom Mode, the documented limits are 5,000 characters for prompt, 1,000 for style and 80 for title. Prepare style and title for instrumental creation, or add the complete prompt for a vocal request. Select instrumental, choose any applicable vocal preference and use the optional weights or persona to describe the direction of the generation.
Open Suno v5, select V5 and prepare the prompt, custom style and title required by your chosen mode. Choose instrumental or vocal creation, review the request price and generate. Listen to all returned candidates and review their actual durations before selecting a track.
The pricing section reads the current rate for one generation request. A finished request can include several candidate tracks; retrieve the returned files to see the actual candidates and their durations. The current task charges once for the generation request, and the listed starting rate corresponds to one request. Review the task’s current request price before submitting and budget additional creative iterations as additional requests.
Open Generate Music documentation and review authentication, model: generate-music, mv: V5, mode-specific inputs and optional preferences. Prepare the prompt, style and title for your chosen workflow, then review the Query Music Detail response fields for retrieving candidate files.
Use the returned task_id to query /api/generate/detail/music?task_id=YOUR_TASK_ID, or handle the configured completion callback. When the task finishes, read files and save the selected audio URL, audio_id and available cover and duration information. Revisit online generations in account history when preparing the next request.
Open account history to revisit the music requests and results created online. Compare the selected track with your earlier creative direction, then use the matching task documentation to prepare the next generation or follow-up operation.
Suno v5 is a music-generation version available in the existing Suno task. The API uses model: generate-music with input.mv set to V5. Choose a simple description or Custom Mode, select instrumental or vocal creation, and retrieve the completed candidate tracks through music details.
Read music-model introductions, API guides and platform comparisons to understand creative inputs, request costs, candidate tracks and integration choices.
