Kling AI · Model and API
A scene from multiple visual references is a practical starting point for Kling O1 Video. Explore this version's parameters, estimate API costs and prepare a request for your product. This page focuses on Kling O1 Video, so its configuration and pricing can be compared with other versions.
The distinguishing catalog configuration for Kling O1 Video is up to 5 reference images. Compare it with First + End, which defines both ends of a transition. Use the same source material and evaluate both the price and how well the result fits the required format. The variant name identifies the runblob selection rather than providing a universal quality guarantee.
Kling O1 Video in runblob accepts a text prompt and optional reference images. Duration: 5–10 seconds; select a supported value in the form. Image input supports up to 5 references. The prompt limit is 2500 characters.
Connect Kling O1 Video through /v1/kling/o1-video/generate. Playground selection: o1. Start with a text prompt and optional reference images, then review the parameters and request price. The form builds example JSON for this version, providing a starting point for a website, application or internal tool. Authentication and result retrieval are covered in the API documentation.
Start with a focused brief: a scene from multiple visual references. Describe the subject, composition and lighting, then define camera and subject movement. Avoid changing every setting at once: keep the original prompt and compare alternatives with one change each. This makes evaluation of Kling O1 Video on your own assets more useful.
Compare Kling O1 Video API pricing at matching settings: the selected mode and a 5–10-second duration. The table below reads the current rate and billing unit from the runblob catalog. Estimate a batch budget using the relevant request price and the number of attempts, including test iterations. When evaluating an affordable or cheap API, start with a small representative test set as well as the listed rate.
A scene from multiple visual references
Kling O1 Video for short advertising scenes and video content
Integrating Kling O1 Video into your own service through the API
A scene from multiple visual references. The camera moves slowly from left to right, soft evening light, one main subject, smooth movement without cuts.
An example brief for Kling O1 Video, not a guaranteed generation result. Kling O1 Video in runblob accepts a text prompt and optional reference images. Duration: 5–10 seconds; select a supported value in the form. Image input supports up to 5 references. The prompt limit is 2500 characters.
Runblob prices in USD. The final cost depends on the selected version and request parameters. Public rates refresh every six hours; personal rates are available in your dashboard.
Configure the parameters and build an API request. Sign in to runblob to start a generation.
Kling O1 Video in runblob accepts a text prompt and optional reference images. Duration: 5–10 seconds; select a supported value in the form. Image input supports up to 5 references. The prompt limit is 2500 characters.
Compare Kling O1 Video API pricing at matching settings: the selected mode and a 5–10-second duration. The table below reads the current rate and billing unit from the runblob catalog. Estimate a batch budget using the relevant request price and the number of attempts, including test iterations. When evaluating an affordable or cheap API, start with a small representative test set as well as the listed rate.
Connect Kling O1 Video through /v1/kling/o1-video/generate. Playground selection: o1. Start with a text prompt and optional reference images, then review the parameters and request price. The form builds example JSON for this version, providing a starting point for a website, application or internal tool. Authentication and result retrieval are covered in the API documentation.
Compare accepted inputs, reference limits, quality and video duration on the relevant version pages. Kling O1 Video is selected separately as o1. A mode name alone does not guarantee a lower price or a better result: evaluate the same brief for your particular use case.