# Kling Video V3 Text to Video 4K API

> تحويل النص إلى فيديو في الإصدار v3 بإخراج 4K أصلي، مع مطالبات متعددة اللقطات وتحكم في المطالبة السلبية وCFG

ينتج فيديو 4K مباشرة من النص باستخدام `prompt` أو قائمة لقطات `multi_prompt`. تتراوح المدة من 3 إلى 15 ثانية، وتكون نسبة العرض إلى الارتفاع 16:9 أو 9:16 أو 1:1. يكون إنشاء الصوت مفعّلاً افتراضياً، وتتراوح `cfg_scale` من 0 إلى 1. تُقبل `negative_prompt` يصل إلى 2500 حرف.

- Model id: `kling-video/v3/4k/text-to-video`
- Made by: Kling
- Category: Text to Video
- Output: video
- Price: $0.42 / second (5 s ≈ $2.10) (cheapest run $2.10 (2100 API credits))
- Run: `POST https://api.doitong.ru/v1/run/kling-video/v3/4k/text-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/kling-video/v3/4k/text-to-video`
- Docs page: https://doitong.com/ar/developers/models/kling-video/v3/4k/text-to-video

## Pricing

Price: **$0.42 / second (5 s ≈ $2.10)**. Billed per second of output (`duration`, default 15).

The full example input below costs $2.10 = 2100 API credits (5 s × 420 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/kling-video/v3/4k/text-to-video` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `enable_safety_checker` |  | boolean | no | `true` |  | لا يمكن تعطيل فحوصات الأمان إلا بتفويض الحساب؛ وتخضع الطلبات غير المفوّضة للفحص دائمًا. |
| `prompt` |  | string \| null | no |  | ≤ 2500 characters | تعليمات نصية تُستخدم لإنشاء الفيديو. قدّم واحدًا فقط من prompt أو multi_prompt. |
| `duration` |  | enum (string) | no | `5` | `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | طول فيديو المخرج، مقاسًا بالثواني. |
| `multi_prompt` |  | array of object {prompt, duration} \| null | no |  |  | موجّهات ومدد لكل لقطة، تستبدل الموجّه الواحد عند توفيرها لإنشاء فيديو مقسم إلى لقطات متعددة. |
| `multi_prompt[].prompt` |  | string | yes |  |  | تعليمات نصية للّقطة الحالية. |
| `multi_prompt[].duration` |  | enum (string) | no | `5` | `1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | طول اللقطة الحالية، مقاسًا بالثواني. |
| `generate_audio` |  | boolean | no | `true` |  | مفتاح تبديل توليد الصوت الأصلي للفيديو، مع دعم الأصوات بالصينية أو الإنجليزية وترجمة أي لغة أخرى تلقائيًا إلى الإنجليزية. بالنسبة للكلام بالإنجليزية، اكتب الاختصارات وأسماء العلم بأحرف كبيرة وكل ما عدا ذلك بأحرف صغيرة. |
| `shot_type` |  | enum (string) | no | `customize` | `customize`, `intelligent` | اختر كيفية تخطيط التوليد متعدد اللقطات للقطات؛ يؤدي اختيار 'intelligent' إلى تفويض بنية اللقطات إلى النموذج. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | نسبة العرض إلى الارتفاع للإطارات في فيديو المخرج. |
| `negative_prompt` |  | string | no | `blur, distort, and low quality` | ≤ 2500 characters |  |
| `cfg_scale` |  | number | no | `0.5` | 0 – 1 | حدّد مدى اتباع التوليد لموجّهك باستخدام CFG، اختصارًا لـ Classifier Free Guidance. |

## Example input

Required parameters only:

```json
{}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/kling-video/v3/4k/text-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-video/v3/4k/text-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/v3/4k/text-to-video", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.ru/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "kling-video/v3/4k/text-to-video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "kling-video/v3/4k/text-to-video",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 2100,
    "usd": "2.10",
    "charged": 2100,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | الفيديو الذي أنشأه النموذج. |

## Related models

- [Kling 3.0 Pro Text to Video](https://doitong.com/developers/models/kling-video/v3/pro/text-to-video.md) (`kling-video/v3/pro/text-to-video`): from $0.112 / second
- [Kling Video v3 Text to Video \[Standard\]](https://doitong.com/developers/models/kling-video/v3/standard/text-to-video.md) (`kling-video/v3/standard/text-to-video`): from $0.084 / second
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second
- [Kling Video v3 Image to Video \[Standard\]](https://doitong.com/developers/models/kling-video/v3/standard/image-to-video.md) (`kling-video/v3/standard/image-to-video`): from $0.084 / second
- [Kling Video · v3 · 4k · Image to Video](https://doitong.com/developers/models/kling-video/v3/4k/image-to-video.md) (`kling-video/v3/4k/image-to-video`): $0.42 / second
- [FLUX 3 Max Text to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/text-to-video.md) (`blackforestlabs/flux-3-max/text-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Text to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/text-to-video.md) (`xai/grok-imagine-video/v1.5/text-to-video`): from $0.08 / second
- [LTX 2.5 Pro Text to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/text-to-video/pro.md) (`lightricks/ltx-2.5/text-to-video/pro`): from $0.12 / second

## Links

- HTML page: https://doitong.com/developers/models/kling-video/v3/4k/text-to-video
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=kling-video/v3/4k/text-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/kling-video/v3/4k/text-to-video