Kling 4.0 Reference to Video

fal/kling/v4/reference-to-video

videoContext —

Kling 4.0 generates videos from text prompts and image or video references at 720p or 1080p, with durations from 3 to 30 seconds and per-shot prompts.

Price

Price$0.157

per second

Compare this model

Providers

Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.

Provider	Tag	Quant	Input	Output	Context	Uptime	Status	Source
fal	—	—	Not published—	Not published—	—	—	Listed	fal

Monthly bill

Token models use the token counts. Image, video, and audio models use units times the flat rate.

Input tokens Output tokens Units

$157 at list price for this workload

Every rate

Unit	Input	Output	Flat	Confidence
second	Not published—	Not published—	$0.157/second	official

Price history

Kling 4.0 Reference to Video

input or flat output

Daily snapshots

UTC date	Unit	Input	Output	Flat
2026-10-27	second	Not published—	Not published—	$0.157
2026-10-28	second	Not published—	Not published—	$0.157
2026-10-29	second	Not published—	Not published—	$0.157
2026-10-30	second	Not published—	Not published—	$0.157

Alternatives

Kling 4.0 Image to Video$0.157/second · Compare
NVIDIA: Nemotron 3.5 Super VL$0.16/1M · Compare
MoonshotAI: Kimi Latest$0.1529/1M · Compare
Cloudflare: Clef Omni$0.15/1M · Compare
GLM 5.3 Flash$0.15/1M · Compare
GLM 5.3 Flash$0.15/1M · Compare

Call this model

OpenRouter id fal/kling/v4/reference-to-video. InferenceList does not send the request.

curl

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"fal/kling/v4/reference-to-video","messages":[{"role":"user","content":"Hello"}]}'

JavaScript

await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "fal/kling/v4/reference-to-video",
    messages: [{ role: "user", content: "Hello" }],
  }),
});

Python

import os, json, urllib.request
req = urllib.request.Request(
    "https://openrouter.ai/api/v1/chat/completions",
    data=json.dumps({"model": "fal/kling/v4/reference-to-video", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
    headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())

JSON · History JSON