# Wan-2.1 Text-to-Video API

> Wan 2.1 ᡳ ᡤᡝᠪᡠᠯᡝᠨ ᡩᡝ 480p ᡩᡝᠴᡳ 720p ᡩᡝ ᡳᠯᡳᠪᡠᠮᠪᡳ, ᠮᡠᠰᡝᠨ ᠠᠮᠪᠠ ᠵᡠᠯᡤᡝᠨ, ᠵᡠᠯᡤᡝᠨ ᡳ ᡠᠯᡥᡳᠨ ᠪᠠᠶᡳᡨᠠᠯᠠᠯᡳ ᠪᡳ

ᠵᠠᠯᠠᠨ ᡤᡝᠪᡠ ᡳ `prompt` ᠠᠴᠠ ᡳᠯᡥᠠᠨ ᠪᠠᡳᡨᠠᠯᠠᠮᠪᡳ. ᠵᠣᠯᡤᠣᠨ ᡳ ᠶᠠᠰᠠᠨ 480p, 580p ᠪᡝ ᠰᡝᠮᠪᡝ 720p ᠣᠮᠪᡳ, ᠮᠣᠰᡥᠣᠨ ᡳ ᠵᠠᠯᠠᠨ 16:9 ᠪᡝ ᠰᡝᠮᠪᡝ 9:16 ᠣᠮᠪᡳ. `num_frames` 81 ᠠᠴᠠ 100 ᡩᡝ ᠪᠠᡳᠮᠪᡳ ᡥᡝᠮᡝ ᠵᠠᠯᡠ ᠪᡝ `frames_per_second` 5 ᠠᠴᠠ 24 ᡩᡝ ᠪᠠᡳᠮᠪᡳ. ᡝᠮᡠ ᠮᡠᠨᡩᡝᠯᡝᠮᡝ `negative_prompt`, ᡠᠯᡥᡳᠨ `seed`, ᡤᡝᠪᡠ ᡳ ᠵᠠᠯᠠᠨ ᡤᡝᠮᡠ ᠵᡠᠶᡝᠨ ᠪᡝ ᠮᡠᠰᡝ ᠠᠮᠪᠠᠨ ᠪᠠᠨᡵᡳ ᠪᡳᠰᡳᡵᡝ, ᡩᠠᠯᠵᠠᠨ ᡩᡝ `turbo_mode` ᠰᡝᠮᡝ ᠵᠠᠯᡠ ᠪᡝ ᠠᠰᡥᠠᠨ ᠪᡝᠯᡤᡝᠨᡩᡝᠮᠪᡳ.

- Model id: `wan-t2v`
- Made by: Alibaba
- Category: Text to Video
- Output: video
- Price: from $0.20 / video (cheapest run $0.20 (200 API credits))
- Run: `POST https://api.doitong.com/v1/run/wan-t2v`
- Quote: `POST https://api.doitong.com/v1/quote/wan-t2v`
- Docs page: https://doitong.com/mnc/developers/models/wan-t2v

## Pricing

Price: **from $0.20 / video** (the lowest tier; the quote prices your exact input). Billed once per generated video.

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

- When `num_frames` > 81 and `resolution` is 580p, 720p: $0.50 (500 API credits) / video
- When `resolution` is 580p, 720p: $0.40 (400 API credits) / video
- When `num_frames` > 81: $0.25 (250 API credits) / video

The full example input below costs $0.40 = 400 API credits (1 video × 400 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.com/v1/quote/wan-t2v` 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 | yes |  |  | ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᡳ ᡥᡡᠯᠠᠨ᠉ |
| `negative_prompt` |  | string | no | `bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards` |  | ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠮᡝ ᠮᡠᠰᡝ ᡥᡡᠯᠠᠨ᠉ |
| `num_frames` |  | integer \| null | no | `81` | 81 – 100 | ᠪᡠᠶᡝᠮᡝ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳᠨᡠᠮᠪᡳ᠂ 81 ᡩᡝᠴᡳ 100 ᡩᡝ ᠪᡳ᠉ |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 24 | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳ ᠵᠠᠰᡳᠨ ᠰᡝᡴᡠᠨ ᡩᡝ᠂ 5 ᡩᡝᠴᡳ 24 ᡩᡝ ᠪᡳ᠉ |
| `seed` |  | integer \| null | no |  |  | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠰᠠᡳᠨ ᠪᡳᠰᡳᠮᡝ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ None ᡩᡝ ᠪᡳᠮᡝ ᠪᠠᠨᠵᡳᠨ ᡤᠣᠯᠣᠮᡝ᠉ |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᠠᠨ᠄ 480p᠂ 580p ᠠᡴᡳ 720p᠉ |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `9:16`, `16:9` | ᠪᡠᠶᡝᠮᡝ ᡳ ᠰᡠᠨᡤᠠ ᡳ ᡳᠯᡤᠠᠨ ᡳ ᡵᠠᠰᡠ, 16:9 ᠠᠮᠠ 9:16. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 40 | ᠰᠠᠮᡝᠨᡳ ᠵᠠᡴᡠᠨᠨᡳ ᠵᠠᠯᠠᠨ, ᠮᡠᠯᡥᡝ ᠵᠠᠯᠠᠨᡩᠣᠮᡝᠨᡳ ᠵᡝᠪᡝᠯᡝ ᠵᡠᠯᡝᠮᡝ. |
| `enable_safety_checker` |  | boolean | no | `false` |  | ᠠᠮᡠᠯᠠᠨ ᡶᡳᠯᡝᠮᡝᠨᡳ ᠵᠠᠰᡳᠮᡝ. ᠪᡝ ᠣᠴᡳ ᠪᠠᠯᠠᠨᠰᡳᠨᡳ ᠪᠠᠨᠵᡳᠨ ᠠᠰᡠᠮᠪᡳ. ᡝᡵᡝ ᠪᠠᠨᠵᡳᠨ ᠠᡴᡡ ᠣᠴᡳ ᠵᠠᡴᡠᠨ ᡶᡝᠨᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠪᡝ ᠪᠠᠨᠵᡳᠮᡝ; true ᠪᡝ ᠵᠠᠰᡳᠮᡝ. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | ᡥᡡᠯᠠᠨ ᠪᡝ ᡩᡝᠯᡝᠪᡠᡵᡝ ᠪᡝ ᡝᠪᡠᡵᡝ ᡝᠪᡠᡵᠠᡴᡡ ᠪᡝ ᡠᠵᡳᠮᠪᡳ. |
| `turbo_mode` |  | boolean | no | `false` |  | ᠰᡠᠨᡤᠠ ᠵᠠᠯᠠᠮᠪᡳᠨᠠ ᠵᠠᠰᡳᠮᡝᠨ᠂ ᠰᡠᠮᠪᡝ ᠣᠮᠣᡵᠣᠮᠪᡳ᠉ |

## Example input

Required parameters only:

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

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.com/v1/run/wan-t2v?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.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/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/wan-t2v?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.com/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/wan-t2v", 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.com/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": "wan-t2v",
      "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": "wan-t2v",
  "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": 400,
    "usd": "0.40",
    "charged": 400,
    "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
    },
    "seed": 42
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ᠉ |
| `seed` | integer | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠶᠠᠪᡠᡥᠠᠨ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ |

## Related models

- [Wan-2.1 Pro Text-to-Video](https://doitong.com/developers/models/wan-pro/text-to-video.md) (`wan-pro/text-to-video`): $0.80 / run
- [Wan Effects](https://doitong.com/developers/models/wan-effects.md) (`wan-effects`): $0.35 / video
- [Wan-2.1 First-Last-Frame-to-Video](https://doitong.com/developers/models/wan-flf2v.md) (`wan-flf2v`): from $0.20 / video
- [Wan-2.1 Image-to-Video](https://doitong.com/developers/models/wan-i2v.md) (`wan-i2v`): from $0.20 / video
- [Wan-2.1 Pro Image-to-Video](https://doitong.com/developers/models/wan-pro/image-to-video.md) (`wan-pro/image-to-video`): $0.80 / video
- [Wan 3.0 Text to Video](https://doitong.com/developers/models/alibaba/wan-3.0/text-to-video.md) (`alibaba/wan-3.0/text-to-video`): from $0.05 / 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

## Links

- HTML page: https://doitong.com/developers/models/wan-t2v
- 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=wan-t2v
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/wan-t2v