Presets on Pika 1.5, not separate models or proof that current unversioned effects use 1.5.
Prices retain their published currencies and billing units below.
Published billing units · original currency · observed 13 Oct 2026
Category
Usage
Rate
Unit
Video
Pikaffects video1
$0.465
video
Rate conditions
Published fal per-video pricing widget. Other prices mentioned in explanatory comparisons are not this endpoint’s quote. No direct-provider subscription fees are added.
Pika developer terms apply to direct access. fal and other integration terms may additionally apply. Retention, training opt-out and regional enterprise guarantees have not been established for this endpoint.
Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.
01 / INITIAL INPUTProcess & retain
The system processes eligible input and retains reusable state.
02 / LATER REQUESTCheck available state
Reuse depends on matching input, session state and the cache policy.
03 / CACHE HITReuse & generate
Reusing state can reduce repeated work. Any charges follow the billing rules below.
fal
fal-ai/pika/v1.5/pikaffects
Not verified
How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected
No verified cache rate for this endpoint. An empty rate is not a zero charge.
What the measurements say
No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.
Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.
The record behind the model
Why it is included
Official Pika release and API documents identify the native model or explicitly labeled managed service. Pika reserves its service intellectual property and prohibits reverse engineering and model extraction. Closed-weight classification is based on this proprietary hosted distribution and the absence of a published weight license for the named release, not merely on paid access. Hosted third-party models are excluded.