# Veo 3.1 API

> Google:a vuođđomodel videoide, 4 rájes 8 sekundda klippat ságastallama ja jienain, gitta 4K rádjái.

Veo 3.1 ráhkada hui realisttalaš videomateriála lip-sync-dialogain, birasjienain ja musihkain seamma geardde, ja čuovvu kamerra- ja čuovgadusrávvagiid dárkilit. Klippat leat 4, 6 dahje 8 sekunda, lánja dahje ceahkkadaga, 720p, 1080p dahje 4K. Jietna sáhttá časkit eret vuollegis haddái.

- Model id: `veo3.1`
- Made by: Google
- Category: Text to Video
- Output: video
- Price: from $0.20 / second (8 s ≈ $1.60) (cheapest run $1.60 (1600 API credits))
- Run: `POST https://api.doitong.com/v1/run/veo3.1`
- Quote: `POST https://api.doitong.com/v1/quote/veo3.1`
- Docs page: https://doitong.com/se/developers/models/veo3.1

## Pricing

Price: **from $0.20 / second (8 s ≈ $1.60)** (the lowest tier; the quote prices your exact input). Billed per second of output (`duration`, default 8).

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

- When `resolution` = 4k and `generate_audio` = true: $0.60 (600 API credits) / second
- When `resolution` = 4k: $0.40 (400 API credits) / second
- When `generate_audio` = true: $0.40 (400 API credits) / second

The full example input below costs $3.20 = 3200 API credits (8 s × 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/veo3.1` 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 |  | ≤ 20000 characters | Čilgehus bivddaduvvon video birra ráhkadeami várás. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16` | Ráhkaduvvon video govttolaš­govttolaš­vuohta. |
| `duration` |  | enum (string) | no | `8s` | `4s`, `6s`, `8s` | Boađus-video guhkkodat. |
| `negative_prompt` |  | string \| null | no |  |  | Negatiivvalaš bivdda, mii stivre video­ráhkadeami. |
| `resolution` |  | enum (string) | no | `720p` | `720p`, `1080p`, `4k` | Video-boađusa resolušuvdna. |
| `generate_audio` |  | boolean | no | `true` |  | Stivre, leatgo ráhkaduvvon jietna videoráhkadeamis. |
| `seed` |  | integer \| null | no |  |  | Seed-árvu, mii álggaha sattumlohkoráhkadeami. |
| `auto_fix` |  | boolean | no | `true` |  | Bivddaid automáhtalaš ođasmahttin, geahččalan čoavdit content-policy-kontrollaid dahje eará validere­miid hehtte­miid. |
| `safety_tolerance` |  | enum (string) | no | `4` | `1`, `2`, `3`, `4`, `5`, `6` | Mearrit sisdoallodárkkisteami gierdavuođa gaskkal unnimus gáržžes dási, 6, ja garraseamos dási, 1, mii caggá eanemus sisdoalu. |

## Example input

Required parameters only:

```json
{
  "prompt": "A street interviewer in New York asks a passer-by \"Did you hear the news?\" and she laughs \"Everyone has!\""
}
```

A fuller example:

```json
{
  "prompt": "A street interviewer in New York asks a passer-by \"Did you hear the news?\" and she laughs \"Everyone has!\"",
  "duration": 8,
  "resolution": "720p"
}
```

## 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/veo3.1?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A street interviewer in New York asks a passer-by \"Did you hear the news?\" and she laughs \"Everyone has!\"",
    "duration": 8,
    "resolution": "720p"
  }'

# 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/veo3.1?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A street interviewer in New York asks a passer-by \"Did you hear the news?\" and she laughs \"Everyone has!\"",
    "duration": 8,
    "resolution": "720p"
  }),
});
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 street interviewer in New York asks a passer-by \"Did you hear the news?\" and she laughs \"Everyone has!\"",
    "duration": 8,
    "resolution": "720p",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/veo3.1", 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": "veo3.1",
      "input": {
        "prompt": "A street interviewer in New York asks a passer-by \"Did you hear the news?\" and she laughs \"Everyone has!\"",
        "duration": 8,
        "resolution": "720p"
      },
      "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": "veo3.1",
  "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": 3200,
    "usd": "3.20",
    "charged": 3200,
    "refunded": 0
  },
  "input": {
    "prompt": "A street interviewer in New York asks a passer-by \"Did you hear the news?\" and she laughs \"Everyone has!\"",
    "duration": 8,
    "resolution": "720p"
  },
  "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.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} | Modealla ráhkadan video. |

## Related models

- [Veo 3.1 Fast](https://doitong.com/developers/models/veo3.1/fast.md) (`veo3.1/fast`): from $0.10 / second
- [Veo 3.1 Fast Image to Video](https://doitong.com/developers/models/veo3.1/fast/image-to-video.md) (`veo3.1/fast/image-to-video`): from $0.10 / second
- [Veo 3.1 Image to Video](https://doitong.com/developers/models/veo3.1/image-to-video.md) (`veo3.1/image-to-video`): from $0.20 / second
- [Veo3.1 Fast First Last Frame to Video](https://doitong.com/developers/models/veo3.1/fast/first-last-frame-to-video.md) (`veo3.1/fast/first-last-frame-to-video`): from $0.10 / second
- [Veo3.1 First Last Frame to Video](https://doitong.com/developers/models/veo3.1/first-last-frame-to-video.md) (`veo3.1/first-last-frame-to-video`): from $0.20 / second
- [Veo3.1 Reference to Video](https://doitong.com/developers/models/veo3.1/reference-to-video.md) (`veo3.1/reference-to-video`): from $0.20 / 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/veo3.1
- 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=veo3.1
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/veo3.1