chirp-v3-5 is the music creation invocation model for Suno V3.5 on this platform, suitable for turning brief themes, lyrics, and style concepts into songs or instrumental music you can preview. It offers both inspiration and custom creation modes, making it suitable for short music drafts, event songs, and application prototypes. The key to choosing it is defining the creative content and previewing the musical direction, rather than pursuing long-form arrangements or the fine editing controls of newer versions.
Submit requests to the public API at api.acedata.cloud using the documented parameters, then use the results in your application.
api.acedata.cloudchirp-v3-5Input parameters and result formats vary by service. Use the public API for this model and follow its guide for generation, task retrieval and editing operations.
Clarify capacity, inputs and outputs, and invocation methods before choosing a model.
The above text and duration range are listed according to this platform's V3.5 usage guide and do not constitute Suno native specifications or a guarantee of exact final duration.
Learn what chirp-v3-5 can bring to your work.
Inspiration mode is suitable for creators who do not yet have complete lyrics. Write the theme, musical mood, and desired genre into the prompt, and start generation with custom=false; add instrumental=true when background music is needed. First establish a direction with a concise description, then adjust the content based on listening results, avoiding too many requirements at the start.
Custom mode organizes lyrics, style, and title separately, making it easier to create around existing copy. After setting custom=true, submit lyric; you can use section markers such as verse and chorus to organize the structure; style focuses on describing genre, instruments, and mood. For V3.5, short and clear style descriptions make it easier to express key points within the text limit.
A music generation result is more than just a file: the application can save the song ID, title, lyrics, and actual duration, and retrieve audio through audio_url. Asynchronous calls first obtain task_id, then track completion status, or use callback_url to receive results. This workflow is suitable for placing creation, listening, and asset archiving in the same application.
Start from specific tasks to find where the model can be effective.
Enter the event theme, audience, and the emotion you want to convey, then use inspiration mode to get a song direction; when you already have greeting copy, organize it into verses and choruses for custom generation. The deliverable is a listenable song draft, making it easier for the team to judge whether the lyric expression and musical atmosphere suit the event, rather than directly promising final release quality.
Describe music around the rhythm and mood of the video visuals, such as upbeat, warm, or tense, and select instrumental music in inspiration mode. After generation, listen to how the melody fits the visuals, then trim and edit it. It is suitable for finding background music directions for short-form content; precise synchronization between the finished piece and shots should still be completed in subsequent editing.
Connect a theme input field, lyrics editing area, and style selector to the song generation workflow, and users can move from text to listening. The application saves task_id and the song ID, then displays the audio and creation information after completion. V3.5 is suitable for validating basic creation interactions; the interface should be designed around its text range and should not assume that all advanced music operations are available by default.
Choose based on task complexity, input materials, and expected results.
If the goal is a basic song draft, short accompaniment, or maintenance of an existing V3.5 application, you can continue to choose chirp-v3-5. Its input organization is relatively straightforward, making it suitable for first validating themes and lyrics. Compared with chirp-v4, both have the same limits for lyrics and style, but V4 has a longer duration range in the usage guide; consider V4 when longer sections are needed.
When lyrics are longer, style descriptions are more complex, or male/female vocal preference control is needed, V4.5 is more suitable for comparison: it allows longer lyric and style text and provides vocal gender preferences. Do not apply these controls directly to V3.5. When extensive arrangement or deep editing is needed, choose based on the creative capabilities of the corresponding model rather than simply changing the name.
Arrange the input first, then connect it to the corresponding application workflow.
Prepare verses and choruses whose length meets the model's limits, and provide a concise style and title.
Explicitly select chirp-v3-5. Use prompt for theme creation; for custom creation, organize lyric, style, and title according to the model's limits. Save task_id, retrieve audio_url after waiting for completion, and archive it together with the work ID and creation settings.
Design the task directly from the following inputs and acceptance priorities.
Submit lyric, style, and title with custom=true, keep the lyrics unchanged, and change only the style description once to compare two drafts.
Check whether any lyrics were omitted, whether the sections are clear, and whether the work can be played in full; use the result as the basis for duration, and do not infer audio quality from text limits.
Before official use, understand the output quality and capability scope.
Answers to common questions when using chirp-v3-5.
It corresponds to Suno V3.5, a publicly callable model for music creation. It is not a standard speech synthesis model, nor is it another name for V4.5 or V6. When calling it, explicitly set model=chirp-v3-5; it is suitable for basic songs, instrumental drafts, and existing-version workflows.
You can use inspiration mode: set custom=false and describe the song's theme, mood, and genre in prompt, with a description limit of 500 characters. You do not need to prepare complete lyrics first; if you want to use your own lyrics, switch to custom=true and submit lyric, style, and title.
In inspiration mode, set instrumental=true and use prompt to describe the intended use of the soundtrack, mood, and instrumental direction. This is suitable for exploring background music for videos or events. Choosing instrumental music and precisely controlling duration are different issues; you still need to listen after generation and arrange editing based on the actual duration.
You should not plan V3.5 tasks this way. Male/female vocal preference parameters apply to V4.5 and above; the V3.5 usage guide specifies a maximum song duration of 120 seconds. Even if the interface accepts an expected duration, it does not mean this model will generate six-minute audio; for long songs, choose a more suitable version.
Submit a generation request to /suno/audios, then read the song status and audio_url from data after completion. Setting async=true lets you obtain task_id first and then query the task result; you can also configure callback_url. It is recommended to save the song ID and actual duration and download the audio for later listening and archiving.
Choose a development approach or application suited to this model and follow its setup guide.
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