Video · Text to video · Image to video · Video to video
Kling 4.0 Flash API
Kling 4.0 Flash by Kuaishou. Fast 720p drafts up to 20 seconds from text, a start frame or reference elements.
- Price
- From $0.38 per run $0.126/s
- Typical time
- ~2 min
- Model id
kling_v4_flash
Kling 4.0 Flash runs on one varg API key and one credit balance, the same as every other model here. You pay the provider's price, with no markup.
curl -X POST https://api.varg.ai/v2/tools/video/call \
-H "Authorization: Bearer $VARG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kling_v4_flash",
"prompt": "A detective in a black trench coat stands on a rooftop in the rain, looking through a telescope.",
"duration": 5
}'Kling 4.0 Flash pricing
From $0.38 per run. Prices are in US dollars and are the provider's own, with no markup. Kling 4.0 Flash has 4 routes: "model": "kling_v4_flash" picks one automatically, or pass a route key as "model" to pin it. For the exact price of a request, send the same body to POST https://api.varg.ai/v2/estimate.
- fal $0.157/s
fal:fal-ai/kling-video/v4/flash/text-to-videoText to video Kling 4.0 Flash text to video.
- Per second
- $0.157/s
- Minimum charge
- $0.471
- Most one request can cost
- $3.14
- Typical time
- ~2 min
- fal $0.157/s
fal:fal-ai/kling-video/v4/flash/image-to-videoImage to video Kling 4.0 Flash image to video.
- Per second
- $0.157/s
- Minimum charge
- $0.471
- Most one request can cost
- $3.14
- Typical time
- ~2 min
- fal $0.157/s
fal:fal-ai/kling-video/v4/flash/reference-to-videoImage to video Kling 4.0 Flash reference to video.
- Per second
- $0.157/s
- Minimum charge
- $0.471
- Most one request can cost
- $3.14
- Typical time
- ~2 min
- fal $0.126/s
fal:kling/v4/flash/video-to-videoVideo to video Kling 4.0 Flash video editing: edits a 3-20 s source video (@Video1) by text instruction with optional reference images (@Image1..10) and videos (@Video2..5). 720p. Output always keeps the source length and aspect; unified duration and aspect_ratio are ignored.
- Per second
- $0.126/s
- Minimum charge
- $0.378
- Most one request can cost
- $2.53
- Typical time
- ~3 min
Kling 4.0 Flash inputs
The JSON body of the request. Media inputs are URLs: upload a local file with POST /v2/files and pass the URL it returns. Full JSON Schema, no key needed: api.varg.ai/v2/tools/video?model=kling_v4_flash
| Field | What it does |
|---|---|
model string required | kling_v4_flash picks a route automatically. To pin one, pass a route key from Pricing above. |
prompt string | — |
files array of { url } | — |
aspect_ratio string | Allowed e.g. 16:9 | 9:16 | 1:1 | 4:3 | 3:4 | 21:9 | auto |
resolution string | Quality tier. Supported by this model: 720p. Unsupported tiers fall back to the nearest available. Allowed 480p | 720p | 1080p | 4k |
audio boolean | Native audio track request. Not supported by this model — ignored if sent. |
duration integer | Length in seconds. Supported by this model's routes: fal: integer 3-20. A non-numeric value such as "auto" is routed to a route whose schema accepts it; when none does, the request is rejected. Allowed 1–120 |
Provider options
Optional, under provider_options.<provider>. Only the options of the provider that runs the job apply; pin a route to choose it.
provider_options.fal
| Field | What it does |
|---|---|
aspect_ratio string | Allowed 16:9 | 9:16 | 1:1 | 21:9 | auto |
start_image_url string (URL) | Image to use as the first frame of the video. Flash does not take an end frame. Max file size: 30.0MB, Min width: 300px, Min height: 300px, Min aspect ratio: 0.40, Max aspect ratio: 2.50, Timeout: 20.0s |
video_url string (URL) | The video to edit (3-20s), referenced as @Video1. Max file size: 300.0MB, Min width: 700px, Min height: 700px, Max width: 4553px, Max height: 4553px, Min aspect ratio: 0.40, Max aspect ratio: 2.50, Min duration: 3.0s, Max duration: 20.05s, Min FPS: 23.9, Max FPS: 60.05, Timeout: 30.0s |
Call the Kling 4.0 Flash API
POST https://api.varg.ai/v2/tools/video/call with Authorization: Bearer $VARG_API_KEY. It answers 202 with a job right away.
1. Send the request
curl -X POST https://api.varg.ai/v2/tools/video/call \
-H "Authorization: Bearer $VARG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kling_v4_flash",
"prompt": "A detective in a black trench coat stands on a rooftop in the rain, looking through a telescope.",
"duration": 5
}'JavaScript
const headers = {
Authorization: `Bearer ${process.env.VARG_API_KEY}`,
'Content-Type': 'application/json',
}
const res = await fetch('https://api.varg.ai/v2/tools/video/call', {
method: 'POST',
headers,
body: JSON.stringify({
"model": "kling_v4_flash",
"prompt": "A detective in a black trench coat stands on a rooftop in the rain, looking through a telescope.",
"duration": 5
}),
})
const job = await res.json() // { id: "job_…", status: "queued" }Python
import os
import requests
headers = {"Authorization": f"Bearer {os.environ['VARG_API_KEY']}"}
job = requests.post(
"https://api.varg.ai/v2/tools/video/call",
headers=headers,
json={
"model": "kling_v4_flash",
"prompt": "A detective in a black trench coat stands on a rooftop in the rain, looking through a telescope.",
"duration": 5
},
).json() # {"id": "job_…", "status": "queued"}2. Get the result
Poll the job until its status is completed, failed or cancelled; Kling 4.0 Flash typically takes about 2 min. The result is at output.outputs[0].url.
curl https://api.varg.ai/v2/jobs/$JOB_ID \
-H "Authorization: Bearer $VARG_API_KEY"
# Poll until "status" is completed, failed or cancelled.
# The result is in output.outputs[0].urlJavaScript
let current = job
while (!['completed', 'failed', 'cancelled'].includes(current.status)) {
await new Promise((resolve) => setTimeout(resolve, 3000))
current = await (await fetch(`https://api.varg.ai/v2/jobs/${current.id}`, { headers })).json()
}
console.log(current.output?.outputs?.[0]?.url)Python
import time
while job["status"] not in ("completed", "failed", "cancelled"):
time.sleep(3)
job = requests.get(f"https://api.varg.ai/v2/jobs/{job['id']}", headers=headers).json()
print(job["output"]["outputs"][0]["url"])Or take a webhook instead of polling
Add options.webhook_url and varg POSTs the finished job to it.
{
"model": "kling_v4_flash",
"prompt": "A detective in a black trench coat stands on a rooftop in the rain, looking through a telescope.",
"duration": 5,
"options": {
"webhook_url": "https://your-app.com/varg-webhook"
}
}From Claude, ChatGPT or Cursor (MCP)
The varg MCP server, https://mcp.varg.ai/mcp, runs Kling 4.0 Flash with call_tool. Sign in with varg, no API key to paste. How to connect it
{
"tool": "video",
"input": {
"model": "kling_v4_flash",
"prompt": "A detective in a black trench coat stands on a rooftop in the rain, looking through a telescope.",
"duration": 5
},
"wait": true
}Kling 4.0 Flash API: questions
- How much does Kling 4.0 Flash cost on varg?
- Kling 4.0 Flash costs from $0.38 per run on varg ($0.126/s on the cheapest route). varg charges the provider's price with no markup, from one credit balance. For the exact price of a request before you run it, send the same body to POST https://api.varg.ai/v2/estimate.
- How do I call the Kling 4.0 Flash API?
- Send POST https://api.varg.ai/v2/tools/video/call with the header "Authorization: Bearer $VARG_API_KEY" and a JSON body that includes "model": "kling_v4_flash". The call answers 202 with a job right away. Poll GET https://api.varg.ai/v2/jobs/{id} until "status" is "completed", then read output.outputs[0].url, or pass options.webhook_url to be called back.
- Can I use Kling 4.0 Flash from Claude, ChatGPT or Cursor?
- Yes. Add the varg MCP server (https://mcp.varg.ai/mcp) to Claude, ChatGPT, Cursor or any other MCP client and sign in with varg, with no API key to paste. The agent runs Kling 4.0 Flash with call_tool, passing tool "video" and "model": "kling_v4_flash".
- How long does a Kling 4.0 Flash request take?
- Typically about 2 min on the fastest route, by the catalog's estimate. The API answers at once with a job id, so nothing waits on an open connection while it runs.
For AI agents: this page as Markdown is varg.ai/models/kling_v4_flash.md, and every model is listed in varg.ai/models/llms.txt.