Kling Video o1 Video To Video Reference API Pricing
fal_ai/fal-ai/kling-video/o1/video-to-video/reference- Price
- $0.168 per second of video
As of November 15, 2026, Kling Video o1 Video To Video Reference costs $0.168 per second of video on fal.
Kling Video o1 Video To Video Reference pricing by provider
2 listings across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Per second | Context |
|---|---|---|---|
| fal | fal_ai/fal-ai/kling-video/o1/video-to-video/reference | $0.168 | – |
| falstandard quality | fal_ai/fal-ai/kling-video/o1/standard/video-to-video/reference | $0.126 | – |
What Kling Video o1 Video To Video Reference costs in practice
100 clips of 8 seconds each
| fal | $134.40 |
Kling Video o1 Video To Video Reference features
Input: text, video. Output: video.
Use Kling Video o1 Video To Video Reference with LiteLLM
Call Kling Video o1 Video To Video Reference through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/videos. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="fal_ai/fal-ai/kling-video/o1/video-to-video/reference",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: kling-video-o1-video-to-video-reference
litellm_params:
model: fal_ai/fal-ai/kling-video/o1/video-to-video/reference
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $LITELLM_API_KEY" \
-d '{
"model": "kling-video-o1-video-to-video-reference",
"messages": [{"role": "user", "content": "Hello!"}]
}'Kling Video o1 Video To Video Reference FAQ
How much does Kling Video o1 Video To Video Reference cost?
Kling Video o1 Video To Video Reference costs $0.168 per second of video on fal.
Which providers offer Kling Video o1 Video To Video Reference?
Kling Video o1 Video To Video Reference is available from fal through LiteLLM, using the model name fal_ai/fal-ai/kling-video/o1/video-to-video/reference.
How do I call Kling Video o1 Video To Video Reference with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="fal_ai/fal-ai/kling-video/o1/video-to-video/reference", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/videos from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
When did LiteLLM add Kling Video o1 Video To Video Reference?
Kling Video o1 Video To Video Reference was added to LiteLLM's model price file on November 10, 2026.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change. Provider pricing pages:
- fal.ai/models/fal-ai/kling-video/o1/video-to-video/reference
- fal.ai/models/fal-ai/kling-video/o1/standard/video-to-video/reference
LiteLLM docs: fal.
Provider pages: fal.