chirp-v6-mini is the v6 Mini invocation model listed in this platform's Suno music service, suitable for turning theme descriptions, lyrics, and style concepts into song concepts you can listen to. You can start with inspiration mode, or use custom mode to organize lyrics, titles, and music styles, then complete the process from creation request to saving your work through task status and audio URLs.
Clarify capacity, inputs and outputs, and invocation methods before selecting a model.
The above are the input and control ranges for this platform's creation endpoint. Desired duration and control parameters are not equivalent to the model's native capacity or strict output guarantees.
Learn what chirp-v6-mini can bring to your work.
When you do not have complete lyrics, first describe the song's theme, mood, and genre, then use inspiration mode to explore directions. When you already have lyrics, switch to custom mode and organize the lyrics, title, and style separately. You can also use lyric_prompt to describe your songwriting intent when no lyrics have been submitted, making the creative input better suited to your level of preparation.
Custom creation can use style to express the musical direction and negative_tags to specify styles you want to avoid. Style influence and experimental settings are used to express creative preferences; when selecting drafts, you should still listen to the vocals, arrangement, and section transitions rather than treating any single value as a fixed timbre formula.
When calling the model, explicitly specify chirp-v6-mini and start music generation with generate. When background processing is needed, use async to obtain a task_id, or configure callback_url to receive results. After completion, save the song ID, audio URL, and actual duration to make it easier to build a work list, listening pages, and an asset archive.
Start with specific tasks to find where the model can be effective.
Prepare brief creative descriptions for holiday events, birthday greetings, or brand themes, clearly stating the mood, genre, and intended message, then generate drafts for listening. The deliverables focus on musical directions and song materials for team discussion, making this suitable for comparing whether the lyrical theme and overall atmosphere match before formal production.
Organize already-written verses, choruses, and bridges into lyric text, submit them in custom mode, and add a title and style concept. After generation, focus on checking the singing of keywords, how the sentences work with the melody, and section transitions, then decide whether to revise the text or adjust the musical direction to form the basis for the next round of creation.
Describe the desired atmosphere for a video intro, podcast interlude, or presentation content, select instrumental music in inspiration mode, and obtain audio material for editing and listening. Listen to the work alongside the visuals or narration to check whether the rhythm, density, and mood are appropriate; the final length can be handled during editing according to the content's pacing.
Choose based on task complexity, input materials, and expected results.
chirp-v6-mini, chirp-v6, and chirp-v6-wild are separate model options. Do not infer speed, cost, or experimental status solely from the Mini or Wild names. If you want to establish a baseline for standard creation first, start with the recommended chirp-v6; when comparing Mini, audition using the same lyrics and style, then choose based on the work's performance.
If you only have a theme or mood idea, choose Inspiration mode to avoid piling on too many parameters at the start. If you need to preserve your own lyrical expression, choose Custom mode and prepare the lyrics, title, and style separately. When migrating legacy-version projects to Mini, audition them again rather than directly applying the older model's duration and text limits.
Move from a small-scale task to full integration.
Define the goal, required inputs, and output requirements, using real business examples as a starting point.
Open the trial page, confirm the parameters supported by this entry point, then submit a small-scale task to review the results.
Keep the full model ID, use the request format specified in the documentation, and confirm billing rules on the Pricing page.
Before formal use, understand output quality and capability scope.
Answers to common questions about using chirp-v6-mini.
Do not judge generation speed solely by the Mini name. When choosing, it is better to compare samples using the same theme, lyrics, and style, and see whether the output meets the task requirements. To establish a baseline for regular creation, you can start with chirp-v6, then decide whether to use Mini's output.
You can start with inspiration mode, set custom to false, and use a prompt of no more than 500 characters to describe the theme and musical direction. If you want to use custom mode but have not written lyrics yet, you can also provide lyric_prompt without submitting lyric, describing the lyrics you want generated.
Select generate, set custom to true, and submit lyric; title and style can be entered separately in title and style. It is recommended to organize lyric sections clearly, then listen to how the vocals and melody work together after generation. The lyric text in the response should not be used as a word-for-word transcription of the audio.
Inspiration mode lets you choose instrumental music through instrumental; duration for custom generation is a desired length hint, not an exact duration constraint. When you need music of a fixed length, use the actual duration of the returned audio as the reference, then edit and finish it according to the visual pacing.
After setting async to true, first save the returned task_id, then query the task to retrieve its status and results; you can also configure callback_url to receive callbacks. After the task is complete, read audio_url from the results, save the song ID and actual duration, and promptly download the audio you need.
Model information · Updated: 2026-10-01. For call parameters and billing rules, see the API and pricing sections.
Start with a clear goal, and judge from actual results whether it suits your work.
Pricing
$0.0532· per generation
You pay$71,316for 750,000 credits · $0.0951 / credits46% OFF
You're billed in credits. Pick a top-up tier to see its per-credit rate — the larger the top-up, the cheaper each credit.
This is only a basic call example. See the full docs for more parameters and advanced usage.
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