Kling V2.5 Turbo is available on Novita AI for developers who need short-form text-to-video and image-to-video generation through hosted asynchronous APIs. Novita AI lists two separate Kling V2.5 Turbo entries: kling-2.5-turbo-t2v for text-to-video and kling-2.5-turbo-i2v for image-to-video. Both modes support 5-second and 10-second video generation, return a task_id first, and use the shared Task Result API to retrieve the generated video.
Key takeaways
- Kling V2.5 Turbo on Novita AI covers two generation modes: text-to-video and image-to-video.
- The two Novita-hosted API paths are separate:
/v3/async/kling-2.5-turbo-t2vand/v3/async/kling-2.5-turbo-i2v. - Current Novita pricing lists both modes at $0.35 per 5-second 1080P video and $0.70 per 10-second 1080P video.
- The API is asynchronous: submit a video task, store the returned
task_id, then retrieve the result from/v3/async/task-result. - This launch overview focuses on availability, API structure, pricing, and fit rather than a full implementation tutorial.
What is Kling V2.5 Turbo?
Kling V2.5 Turbo is a video generation model family exposed on Novita AI for prompt-driven video creation. The text-to-video entry generates video from a text prompt. The image-to-video entry uses a source image plus a prompt to create motion from an initial visual frame.
For developers, the practical distinction is simple:
- Use the Kling V2.5 Turbo Text to Video API when the scene can be described with a prompt.
- Use the Kling V2.5 Turbo Image to Video API when a source image should anchor the generated clip.
The current Novita model pages describe both entries as video models and show asynchronous API submission plus task-result retrieval. The API reference pages also show that the initial submit response returns only a task_id, so applications should be built around polling or task-state handling rather than expecting a video file in the first response.
Kling V2.5 Turbo API access on Novita AI
Novita AI provides separate model pages and model-specific documentation for the two Kling V2.5 Turbo modes. The text-to-video API uses the POST https://api.novita.ai/v3/async/kling-2.5-turbo-t2v endpoint. The image-to-video API uses the POST https://api.novita.ai/v3/async/kling-2.5-turbo-i2v endpoint.
Both endpoints require JSON requests and bearer-token authorization. Both return a task_id when the task is accepted. Developers then call the Novita AI Task Result API with that task ID to check task status and retrieve generated media. For video tasks, the response can include a videos array with fields such as video_url, video_url_ttl, and video_type once the task succeeds.
That structure makes Kling V2.5 Turbo a fit for applications that can handle asynchronous generation: creative tools, internal campaign asset pipelines, batch prompt testing, product mockup workflows, and short-form video automation.
Specs and pricing summary
| Field | Details |
|---|---|
| Display name | Kling V2.5 Turbo Text to Video; Kling V2.5 Turbo Image to Video |
| Text-to-video model ID and path | kling-2.5-turbo-t2v; POST /v3/async/kling-2.5-turbo-t2v |
| Image-to-video model ID and path | kling-2.5-turbo-i2v; POST /v3/async/kling-2.5-turbo-i2v |
| Result retrieval | GET /v3/async/task-result?task_id=... |
| Text-to-video required input | prompt |
| Image-to-video required inputs | image, prompt |
| Prompt limit | 2,500 characters for positive and negative prompts |
| Duration options | 5 and 10 seconds |
| Text-to-video aspect ratio options | 16:9, 9:16, 1:1 |
| Image input requirements | .jpg, .jpeg, .png; max 10 MB; minimum 300x300 pixels |
| Mode | pro |
| Current pricing | $0.35 per 5-second 1080P video; $0.70 per 10-second 1080P video for both modes |
The pricing boundary is easy to estimate because the listed unit is a generated video rather than a text token. For a workflow that tests 100 prompts at 5 seconds each, the listed generation cost is 100 multiplied by $0.35 before any acceptance-rate filtering or product-specific budget controls. If your workflow mixes 5-second and 10-second outputs, track both duration selection and the number of accepted clips.
Key capabilities for developers
Text-to-video generation from a prompt
The text-to-video endpoint is the direct path for scenes that can be specified in language. Developers can describe the subject, movement, camera framing, scene context, and negative constraints, then submit the task to Novita AI’s hosted endpoint.
This mode is useful when teams want to explore multiple scene ideas before committing to production assets. It also works well when the output does not need to preserve a specific source image.
Image-to-video generation from a source frame
The image-to-video endpoint is the better fit when a still image should define the subject, composition, or starting frame. The current docs require an image input and a prompt, with supported image formats and size limits documented in the API reference.
This mode can support workflows such as animating product stills, creating short motion concepts from design frames, or turning reference imagery into short clips for review.
Asynchronous video task handling
Both modes use asynchronous task submission. That matters for application design: users should see progress, queued states, or a pending state while the generation runs. The Task Result API exposes task status values including queued, processing, succeeded, and failed states, plus progress information for supported video tasks.
Predictable duration and price boundaries
Kling V2.5 Turbo is currently listed with 5-second and 10-second duration choices. Pricing is per video rather than per text token. For teams building a repeatable workflow, that makes it easier to estimate cost by number of generated clips, duration mix, and acceptance rate.
When to use Kling V2.5 Turbo
Kling V2.5 Turbo is a good fit when the product requirement is “generate a short clip, track the task, and return a video URL” rather than a full video-editing stack. That makes it practical for creative tools, campaign asset experiments, product mockup videos, and internal media pipelines where a user can wait for an asynchronous generation result.
Choose text-to-video when the concept starts from a written scene: a camera move, product moment, background, or visual style described in a prompt. Choose image-to-video when the first visual already matters, such as a product still, character reference, design frame, or approved brand asset that should guide the generated motion.
The async API shape also helps teams build a reviewable workflow. Your application can submit a task, show queued or processing state, store the result, and send generated clips into a human review queue before anything reaches a customer-facing surface.
When not to use Kling V2.5 Turbo
If audio is part of the core deliverable, check another video model or workflow before committing to this one. The Kling V2.5 Turbo entries covered here are text-to-video and image-to-video APIs; the current Novita pricing rows for this model do not list native audio generation.
If your clips must preserve a logo, product detail, face, or line of text exactly, build in review and retry from the start. Video output depends on the prompt, source image quality, motion complexity, and your acceptance bar, so teams with strict brand or compliance requirements should validate on representative assets first.
Finally, avoid treating model parameters and cost assumptions as permanent configuration. Video model pricing, supported fields, and result handling can change, so production systems should keep those values easy to update and recheck the Novita AI docs before a launch or large batch run.
How Kling V2.5 Turbo fits your API workflow
A typical application flow has three stages. First, choose the mode: text-to-video for prompt-only generation or image-to-video when a source image is required. Second, submit a JSON task to the relevant model-specific endpoint with bearer-token authentication. Third, store the returned task_id and query the Task Result API until the task succeeds or fails.
For response handling, design around the task object and generated media arrays. The Task Result API documents task status, failure reason, task type, estimated completion, progress percentage, and media output arrays. For successful video tasks, applications should read the generated clip from the videos array.
For cost controls, track generation count and duration selection. The listed price is $0.35 per 5-second 1080P video and $0.70 per 10-second 1080P video for both Kling V2.5 Turbo text-to-video and image-to-video.
Final recommendation
Use Kling V2.5 Turbo on Novita AI when you need short 1080P text-to-video or image-to-video generation through an asynchronous hosted API. Start with the Kling V2.5 Turbo Text to Video API if your workflow begins with prompts, or the Kling V2.5 Turbo Image to Video API if an input image should guide the clip.
Before moving into production, run a small evaluation set with your own prompts, input images, expected motion patterns, rejection criteria, and budget assumptions. That is the safest way to validate whether the model fits your content workflow without relying on unsupported benchmark or quality claims.
FAQ
Is Kling V2.5 Turbo available on Novita AI?
Yes. Novita AI lists separate hosted entries and API documentation for Kling V2.5 Turbo Text to Video and Kling V2.5 Turbo Image to Video.
What are the Kling V2.5 Turbo model IDs on Novita AI?
The text-to-video API path uses kling-2.5-turbo-t2v. The image-to-video API path uses kling-2.5-turbo-i2v.
How much does Kling V2.5 Turbo cost on Novita AI?
Novita AI lists both Kling V2.5 Turbo Text to Video and Kling V2.5 Turbo Image to Video at $0.35 per 5-second 1080P video and $0.70 per 10-second 1080P video.
Does Kling V2.5 Turbo support both text-to-video and image-to-video?
Yes. Novita AI lists separate text-to-video and image-to-video entries. The text-to-video endpoint requires a prompt. The image-to-video endpoint requires an image and a prompt.
What response does the Kling V2.5 Turbo API return first?
The model-specific submit endpoints return a task_id. Developers use that task ID with the Task Result API to retrieve status and generated video output.
