How much does Vidu Q4 cost on varg?

Vidu Q4 costs from $0.14 per run on varg (from $0.045/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 Vidu Q4 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": "vidu_q4". 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 Vidu Q4 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 Vidu Q4 with call_tool, passing tool "video" and "model": "vidu_q4".

How long does a Vidu Q4 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.

Video · Image to video · Text to video

Vidu Q4 API

Vidu Q4. Video with native audio from a first frame, or from reference images and voice clips; 3-16 seconds, 540p to 4K. No text-only mode.

Price: From $0.14 per run from $0.045/s
Typical time: ~2 min
Model id: vidu_q4

Vidu Q4 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.

POST /v2/tools/video/call

curl -X POST https://api.varg.ai/v2/tools/video/call \
  -H "Authorization: Bearer $VARG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "vidu_q4",
  "prompt": "The woman turns toward the camera and smiles, then the shot cuts to a close-up as she says: \"Let'\''s go.\"",
  "files": [
    {
      "url": "https://storage.googleapis.com/falserverless/web-examples/vidu/stylish_woman.webp"
    }
  ],
  "resolution": "720p",
  "duration": 5
}'

Try it in the Playground Get an API key

Vidu Q4 pricing

From $0.14 per run. Prices are in US dollars and are the provider's own, with no markup. Vidu Q4 has 2 routes: "model": "vidu_q4" 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 from $0.045/s
fal:fal-ai/vidu/q4/image-to-video
Image to video Vidu Q4 image-to-video — animates a first-frame image into a 3-16 s video with native audio (dialogue, sound effects), 540p to 4K.
Resolution 540p
$0.045/s
Resolution 720p
$0.095/s
Resolution 1080p
$0.12/s
Resolution 2K
$0.19/s
Resolution 4K
$0.39/s
Other
$0.39/s
Minimum charge
$0.14
Most one request can cost
$6.24
Typical time
~2 min
fal from $0.045/s
fal:fal-ai/vidu/q4/reference-to-video
Text to video, Image to video Vidu Q4 reference-to-video — up to 12 reference images and 3 voice clips keep characters, objects and voices consistent across a 3-16 s video, 540p to 4K, native audio on by default. Needs at least one reference image or voice clip (no text-only mode). Jobs with several images pin this route (auto-routing sends image inputs to image-to-video).
Resolution 540p
$0.045/s
Resolution 720p
$0.095/s
Resolution 1080p
$0.12/s
Resolution 2K
$0.19/s
Resolution 4K
$0.39/s
Other
$0.39/s
Minimum charge
$0.14
Most one request can cost
$6.24
Typical time
~2 min

Vidu Q4 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=vidu_q4

Vidu Q4 request fields
Field	What it does
`model` string required	`vidu_q4` 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: 480p, 720p, 1080p, 4k. Unsupported tiers fall back to the nearest available. Allowed 480p \| 720p \| 1080p \| 4k
`audio` boolean	Set true to generate the video with a native audio track.
`duration` integer	Length in seconds. Supported by this model's routes: fal: integer 3-16. A non-numeric value such as "auto" is routed to a route whose schema accepts it; when none does, the request is rejected. Allowed 3–16

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`

Vidu Q4 options for fal
Field	What it does
`prompt` string	Text prompt for video generation, max 5000 characters
`reference_audio_urls` array of URL strings	—
`reference_image_urls` array of URL strings	—
`duration` integer	Duration of the video in seconds (3-16) Allowed 3–16
`image_url` string (URL)	URL or base64 data URI of the image to use as the first frame. Supports png, jpeg, jpg and webp up to 50 MB.
`resolution` string	Allowed 540p \| 720p \| 1080p \| 2K \| 4K
`audio` boolean	Whether to generate audio (dialogue and sound effects) with the video. When false, the output video is silent.
`aspect_ratio` string	Allowed 16:9 \| 9:16 \| 4:3 \| 3:4 \| 1:1

Call the Vidu Q4 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

curl -X POST https://api.varg.ai/v2/tools/video/call \
  -H "Authorization: Bearer $VARG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "vidu_q4",
  "prompt": "The woman turns toward the camera and smiles, then the shot cuts to a close-up as she says: \"Let'\''s go.\"",
  "files": [
    {
      "url": "https://storage.googleapis.com/falserverless/web-examples/vidu/stylish_woman.webp"
    }
  ],
  "resolution": "720p",
  "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": "vidu_q4",
    "prompt": "The woman turns toward the camera and smiles, then the shot cuts to a close-up as she says: \"Let's go.\"",
    "files": [
      {
        "url": "https://storage.googleapis.com/falserverless/web-examples/vidu/stylish_woman.webp"
      }
    ],
    "resolution": "720p",
    "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": "vidu_q4",
      "prompt": "The woman turns toward the camera and smiles, then the shot cuts to a close-up as she says: \"Let's go.\"",
      "files": [
        {
          "url": "https://storage.googleapis.com/falserverless/web-examples/vidu/stylish_woman.webp"
        }
      ],
      "resolution": "720p",
      "duration": 5
    },
).json()  # {"id": "job_…", "status": "queued"}

2. Get the result

Poll the job until its status is completed, failed or cancelled; Vidu Q4 typically takes about 2 min. The result is at output.outputs[0].url.

GET /v2/jobs/{id}

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].url

JavaScript

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.

request body

{
  "model": "vidu_q4",
  "prompt": "The woman turns toward the camera and smiles, then the shot cuts to a close-up as she says: \"Let's go.\"",
  "files": [
    {
      "url": "https://storage.googleapis.com/falserverless/web-examples/vidu/stylish_woman.webp"
    }
  ],
  "resolution": "720p",
  "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 Vidu Q4 with call_tool. Sign in with varg, no API key to paste. How to connect it

call_tool

{
  "tool": "video",
  "input": {
    "model": "vidu_q4",
    "prompt": "The woman turns toward the camera and smiles, then the shot cuts to a close-up as she says: \"Let's go.\"",
    "files": [
      {
        "url": "https://storage.googleapis.com/falserverless/web-examples/vidu/stylish_woman.webp"
      }
    ],
    "resolution": "720p",
    "duration": 5
  },
  "wait": true
}

Vidu Q4 API: questions

How much does Vidu Q4 cost on varg?: Vidu Q4 costs from $0.14 per run on varg (from $0.045/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 Vidu Q4 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": "vidu_q4". 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 Vidu Q4 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 Vidu Q4 with call_tool, passing tool "video" and "model": "vidu_q4".
How long does a Vidu Q4 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/vidu_q4.md, and every model is listed in varg.ai/models/llms.txt.