# MAGI-1 (Distilled) API

> ᡩᡳᠰᡨᡳᠯᠯᡝᠮᡝ ᡴᡳᠮᡠᠰᡳᠨ MAGI-1 ᠪᡳᠴᡳᡥᡝᠰᡳ ᡩᡝᠰᡳ ᠪᡳᠣ᠋ᠰᡳᠨᠣᠩᡤᡝ 480p ᠠᡵᠠᠯᡳ 720p ᡥᡡᠯᠠᠮᡝ᠂ 4 ᠠᡵᠠᠯᡳ 32 ᡩᡝ ᠠᠮᠪᠠᠯᠠᠮᡝ ᡩᡠᠯᡝᡵᡝ ᡩᠣᠣᠰᡳᠨ

ᠪᡳᠴᡳᡥᡝᠰᡳ `prompt` ᡩᡝ ᠰᠠᠮᠪᡳ ᠪᡳᠣ᠋ ᡤᡝᠨᡝᡵᡝᠮᡝ ᡤᡠᠷᡝᠮᡝ᠃ `num_frames` 96 ᠠᡵᠠᠯᡳ 192 ᡩᡝ ᠣᠴᡳᠨᠠᠮᡝ᠂ `resolution` 480p ᠠᡵᠠᠯᡳ 720p ᠣᠴᡳᠨᠠᠮᡝ᠂ ᠠᠮᠠ `aspect_ratio` auto᠂ 16:9᠂ 9:16 ᠠᡵᠠᠯᡳ 1:1 ᠣᠴᡳᠨᠠᠮᡝ᠃ `num_inference_steps` 4᠂ 8᠂ 16 ᠠᡵᠠᠯᡳ 32 ᠠᠪᡠᠮᡝ᠂ ᡤᡡᠨᡳᠨ ᠠᡵᠠᠯᡳ ᡤᡝᠯᡳ ᡩᡝ ᡥᡡᠯᠠᠮᡝ᠃ ᠵᡝᠯᡤᡳ `seed` ᡳ ᠠᠪᡠᠮᡝ ᠠᡳᠰᡳᠯᠠᠮᡝ ᡤᡠᠷᡝᠮᡝ ᠣᠵᠣᠷᠣᠮᡝ᠃

- Model id: `magi-distilled`
- Made by: Sand AI
- Category: Text to Video
- Output: video
- Price per second of your output video: from $0.08 / second of output video (cheapest run $0.08 (80 API credits))
- Run: `POST https://api.doitong.com/v1/run/magi-distilled`
- Quote: `POST https://api.doitong.com/v1/quote/magi-distilled`
- Docs page: https://doitong.com/mnc/developers/models/magi-distilled

## Pricing

Price: **from $0.08 / second of output video** (the lowest tier; the quote prices your exact input). Price per second of your output video: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.32 = 320 API credits (4 s output video × $0.08).

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/magi-distilled` 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᠉ |
| `num_frames` |  | integer \| null | no | `96` | 96 – 192 | ᠪᡠᠶᡝᠮᡝ ᠪᡠᠴᡳᠯᡝᠮᡝ ᡳ ᡶᡳᠯᡝᠮᡝ ᠵᠠᠯᠠᠨ᠈ ᠵᡠᠯᡝ 96 ᠠᠯᡳ ᠠᠮᠪᠠᠨ 192. |
| `seed` |  | integer \| null | no |  |  | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠰᠠᡳᠨ ᠪᡳᠰᡳᠮᡝ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ None ᡩᡝ ᠪᡳᠮᡝ ᠪᠠᠨᠵᡳᠨ ᡤᠣᠯᠣᠮᡝ᠉ |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᠠᠨ, 480p ᠠᠮᠠᠯᡤᠠ 720p᠉ |
| `num_inference_steps` |  | enum (integer) | no | `16` | `4`, `8`, `16`, `32` | ᠰᠠᠮᡝᠨᡳ ᠵᠠᡴᡠᠨᠨᡳ ᠵᠠᠯᠠᠨ, ᠮᡠᠯᡥᡝ ᠵᠠᠯᠠᠨᡩᠣᠮᡝᠨᡳ ᠵᡝᠪᡝᠯᡝ ᠵᡠᠯᡝᠮᡝ. |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᠠᠮᡠᠯᠠᠨ ᡶᡳᠯᡝᠮᡝᠨᡳ ᠵᠠᠰᡳᠮᡝ. ᠪᡝ ᠣᠴᡳ ᠪᠠᠯᠠᠨᠰᡳᠨᡳ ᠪᠠᠨᠵᡳᠨ ᠠᠰᡠᠮᠪᡳ. ᡝᡵᡝ ᠪᠠᠨᠵᡳᠨ ᠠᡴᡡ ᠣᠴᡳ ᠵᠠᡴᡠᠨ ᡶᡝᠨᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠪᡝ ᠪᠠᠨᠵᡳᠮᡝ; true ᠪᡝ ᠵᠠᠰᡳᠮᡝ. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ auto ᠰᠣᠩᡤᠣᠮᠪᡳ. |

## 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/magi-distilled?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/magi-distilled?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/magi-distilled", 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": "magi-distilled",
      "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": "magi-distilled",
  "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": 320,
    "usd": "0.32",
    "charged": 320,
    "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

- [MAGI-1 (Distilled) · Image to Video](https://doitong.com/developers/models/magi-distilled/image-to-video.md) (`magi-distilled/image-to-video`): from $0.08 / second of output video
- [MAGI-1 (Distilled) · Extend Video](https://doitong.com/developers/models/magi-distilled/extend-video.md) (`magi-distilled/extend-video`): from $0.04 / second of output video
- [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
- [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
- [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
- [MiniMax H3 Text to Video](https://doitong.com/developers/models/minimax/h3/text-to-video.md) (`minimax/h3/text-to-video`): from $0.05 / second
- [Seedance 2.0 Fast Text to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/text-to-video.md) (`bytedance/seedance-2.0/fast/text-to-video`): from $0.113 / second

## Links

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