# Kling 3.0 Pro Text to Video API

> Clips cinématographiques de 3 à 15 secondes à partir d’une invite, avec son natif et narration multi-plans.

Le modèle texte-vidéo phare de Kling produit des mouvements fluides et physiquement plausibles ainsi qu’un éclairage cinématographique, et génère par défaut un son et une parole correspondants. Divisez un clip en plusieurs plans avec des invites par plan, ou laissez le modèle planifier lui-même les coupes. 16:9, 9:16 ou 1:1, toute durée de 3 à 15 secondes, avec une invite négative et une échelle d’orientation.

- Model id: `kling-video/v3/pro/text-to-video`
- Made by: Kling
- Category: Text to Video
- Output: video
- Price: from $0.112 / second (5 s ≈ $0.56) (cheapest run $0.56 (560 API credits))
- Run: `POST https://api.doitong.ru/v1/run/kling-video/v3/pro/text-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/kling-video/v3/pro/text-to-video`
- Docs page: https://doitong.com/fr-CA/developers/models/kling-video/v3/pro/text-to-video

## Pricing

Price: **from $0.112 / second (5 s ≈ $0.56)** (the lowest tier; the quote prices your exact input). Billed per second of output (`duration`, default 5).

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `generate_audio` = true: $0.168 (168 API credits) / second

The full example input below costs $0.84 = 840 API credits (5 s × 168 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/pro/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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string \| null | no |  | ≤ 2500 characters | Instructions textuelles utilisées pour générer la vidéo. Fournissez exactement l’un des paramètres `prompt` ou `multi_prompt`. |
| `duration` |  | enum (string) | no | `5` | `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | Durée de la vidéo de sortie, mesurée en secondes. |
| `multi_prompt` |  | array of object {prompt, duration} \| null | no |  |  | Invites et durées par plan qui, lorsqu’elles sont fournies, remplacent l’invite unique pour créer une vidéo divisée en plusieurs plans. |
| `multi_prompt[].prompt` |  | string | yes |  |  | Instructions textuelles pour le plan actuel. |
| `multi_prompt[].duration` |  | enum (string) | no | `5` | `1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | Durée du plan actuel, mesurée en secondes. |
| `generate_audio` |  | boolean | no | `true` |  | Option de génération de l’audio vidéo natif, prenant en charge les voix en chinois ou en anglais et traduisant automatiquement toute autre langue vers l’anglais. Pour la parole anglaise, écrivez les acronymes et les noms propres en majuscules et tout le reste en minuscules. |
| `shot_type` |  | enum (string) | no | `customize` | `customize`, `intelligent` | Choisissez comment la génération multi-plans organise ses plans; la sélection de 'intelligent' délègue leur structure au modèle. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Ratio largeur-hauteur des images de la vidéo de sortie. |
| `negative_prompt` |  | string | no | `blur, distort, and low quality` | ≤ 2500 characters |  |
| `cfg_scale` |  | number | no | `0.5` | 0 – 1 | Définissez dans quelle mesure la génération suit votre invite à l’aide de CFG, abréviation de Classifier Free Guidance. |

## Example input

Required parameters only:

```json
{}
```

A fuller example:

```json
{
  "prompt": "Close-up of fireflies dancing in a dark forest at twilight, soft glowing particles, slow dolly forward",
  "duration": 5,
  "aspect_ratio": "16:9"
}
```

## 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/pro/text-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Close-up of fireflies dancing in a dark forest at twilight, soft glowing particles, slow dolly forward",
    "duration": 5,
    "aspect_ratio": "16:9"
  }'

# 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/pro/text-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Close-up of fireflies dancing in a dark forest at twilight, soft glowing particles, slow dolly forward",
    "duration": 5,
    "aspect_ratio": "16:9"
  }),
});
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": "Close-up of fireflies dancing in a dark forest at twilight, soft glowing particles, slow dolly forward",
    "duration": 5,
    "aspect_ratio": "16:9",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/v3/pro/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/pro/text-to-video",
      "input": {
        "prompt": "Close-up of fireflies dancing in a dark forest at twilight, soft glowing particles, slow dolly forward",
        "duration": 5,
        "aspect_ratio": "16:9"
      },
      "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/pro/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": 840,
    "usd": "0.84",
    "charged": 840,
    "refunded": 0
  },
  "input": {
    "prompt": "Close-up of fireflies dancing in a dark forest at twilight, soft glowing particles, slow dolly forward",
    "duration": 5,
    "aspect_ratio": "16:9"
  },
  "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} | Vidéo produite par le modèle. |

## Related models

- [Kling Video V3 Text to Video 4K](https://doitong.com/developers/models/kling-video/v3/4k/text-to-video.md) (`kling-video/v3/4k/text-to-video`): $0.42 / 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/pro/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/pro/text-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/kling-video/v3/pro/text-to-video