# Qwen Image 3 Text to Image API

> Alibaba'ס בילד־מאָדעל מיט אויסגעצייכנטן צוויישפּראַכיקן טעקסט, אין 1K אָדער 2K.

Qwen Image 3 איז ספּעציעל גוט אין אַרײַנשטעלן לייענבאַרן ענגלישן און כינעזישן טעקסט אין בילדער: שילדן, לאַבעלס, סלײַדס און מעמעס. עס נעמט אָן אַ נעגאַטיוון פּראָמפּט, אַן אָפּציאָנאַלע אויטאָמאַטישע פּראָמפּט־פֿאַרברייטערונג און אַ זוימען, און רענדערט פֿון 512x512 ביז 2048x2048 פּיקסעלן. ביז זעקס בילדער פּער בקשה אין PNG, JPEG אָדער WebP.

- Model id: `alibaba/qwen-image-3/text-to-image`
- Made by: Alibaba
- Category: Text to Image
- Output: image
- Price: from $0.04 / image (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.ru/v1/run/alibaba/qwen-image-3/text-to-image`
- Quote: `POST https://api.doitong.ru/v1/quote/alibaba/qwen-image-3/text-to-image`
- Docs page: https://doitong.com/yi/developers/models/alibaba/qwen-image-3/text-to-image

## Pricing

Price: **from $0.04 / image** (the lowest tier; the quote prices your exact input). Billed per generated image (`num_images`, default 1).

The full example input below costs $0.04 = 40 API credits (1 image × 40 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/alibaba/qwen-image-3/text-to-image` 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

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | 1 – 5000 characters | טעקסט וואָס באַשרײַבט דעם צו שאַפֿנדיקן בילד, אויף כינעזיש אָדער ענגליש, באַגרענעצט צו 5000 אותיות. |
| `negative_prompt` |  | string \| null | no | `` | ≤ 500 characters | אינהאַלט וואָס זאָל אויסגעלאָזט ווערן פון דעם רעזולטירנדיקן בילד, באַגרענעצט צו 500 אותיות. |
| `image_size` |  | object {width, height} \| enum (string) | no | `square_hd` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | שטעלט די רעזולטאַט־דימענסיעס אַזוי אַז די גאַנצע פּיקסעל־צאָל פון בילד זאָל ליגן צווישן 512 × 512 און 2048 × 2048. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | קאָנטראָלירט אויטאָמאַטישע פּראָמפּט־איבערשרײַבונג דורך אַן LLM צו פֿאַרבעסערן רעזולטאַטן. |
| `seed` |  | integer \| null | no |  |  | ראַנדאָם סיד פֿאַר רעפּראָדוצירבאַרע רעזולטאַטן, פון 0 ביז 2147483647. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 6 | געבעטן צאָל בילדער פֿאַר גענערירונג. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | פֿײַל־פֿאָרמאַט פון דעם רעזולטירנדיקן בילד. |

## Example input

Required parameters only:

```json
{
  "prompt": "A cute baby koala on a water slide holding a card that says \"Summer starts now\", bright afternoon light"
}
```

A fuller example:

```json
{
  "prompt": "A cute baby koala on a water slide holding a card that says \"Summer starts now\", bright afternoon light",
  "negative_prompt": "low resolution, blurry, deformed",
  "image_size": "square_hd"
}
```

## 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/alibaba/qwen-image-3/text-to-image?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A cute baby koala on a water slide holding a card that says \"Summer starts now\", bright afternoon light",
    "negative_prompt": "low resolution, blurry, deformed",
    "image_size": "square_hd"
  }'

# 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/alibaba/qwen-image-3/text-to-image?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A cute baby koala on a water slide holding a card that says \"Summer starts now\", bright afternoon light",
    "negative_prompt": "low resolution, blurry, deformed",
    "image_size": "square_hd"
  }),
});
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 cute baby koala on a water slide holding a card that says \"Summer starts now\", bright afternoon light",
    "negative_prompt": "low resolution, blurry, deformed",
    "image_size": "square_hd",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/alibaba/qwen-image-3/text-to-image", 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": "alibaba/qwen-image-3/text-to-image",
      "input": {
        "prompt": "A cute baby koala on a water slide holding a card that says \"Summer starts now\", bright afternoon light",
        "negative_prompt": "low resolution, blurry, deformed",
        "image_size": "square_hd"
      },
      "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": "alibaba/qwen-image-3/text-to-image",
  "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": 40,
    "usd": "0.04",
    "charged": 40,
    "refunded": 0
  },
  "input": {
    "prompt": "A cute baby koala on a water slide holding a card that says \"Summer starts now\", bright afternoon light",
    "negative_prompt": "low resolution, blurry, deformed",
    "image_size": "square_hd"
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "content_type": "image/jpeg",
        "file_name": "0-output.jpeg",
        "file_size": 1843200
      }
    ],
    "seed": 42
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "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 |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size} | בילדער געשאַפֿן דורך גענערירונג. |
| `seed` | integer | סיד־ווערט וואָס ווערט געווענדט בעת גענערירונג. |

## Related models

- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image

## Links

- HTML page: https://doitong.com/developers/models/alibaba/qwen-image-3/text-to-image
- 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=alibaba/qwen-image-3/text-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/alibaba/qwen-image-3/text-to-image