# GPT Image 2.5 Text to Image API

> Samhail íomhá OpenAI a leanann treoracha go láidir, a rindreálann téacs go glan agus a thacaíonn le cúlraí trédhearcacha.

Gineadóir íomhánna ilfheidhmeach OpenAI: leanann sé treoracha fada sonracha, leagann sé amach téacs agus léaráidí go glan agus féadann sé PNG nó WebP a thabhairt ar ais le cúlra trédhearcach do ghreamáin, deilbhíní agus ghearrthóga táirgí. Malartaíonn cúig leibhéal cáilíochta luas agus praghas ar mhaithe le mionsonraí. Téann na méideanna suas go 3840 px ar an imeall fada (iolraí de 16, 3:1 ar a mhéad); suas le deich n-íomhá in aghaidh na hiarrata.

- Model id: `openai/gpt-image-2.5/flare/text-to-image`
- Made by: OpenAI
- Category: Text to Image
- Output: image
- Price: from $0.008 / image (cheapest run $0.008 (8 API credits))
- Run: `POST https://api.doitong.ru/v1/run/openai/gpt-image-2.5/flare/text-to-image`
- Quote: `POST https://api.doitong.ru/v1/quote/openai/gpt-image-2.5/flare/text-to-image`
- Docs page: https://doitong.com/ga/developers/models/openai/gpt-image-2.5/flare/text-to-image

## Pricing

Price: **from $0.008 / image** (the lowest tier; the quote prices your exact input). Billed per generated image (`num_images`, default 1).

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

- When `image_size` is landscape_4_3, portrait_4_3: by `quality`, low: $0.008, medium: $0.013, high: $0.04, xhigh: $0.068, max: $0.148, auto: $0.148 / image
- When `image_size` is square_hd, square, portrait_16_9, landscape_16_9: by `quality`, low: $0.009, medium: $0.017, high: $0.056, xhigh: $0.097, max: $0.214, auto: $0.214 / image
- When `quality` is low, medium, high, xhigh, max, auto: by `quality`, low: $0.015, medium: $0.029, high: $0.104, xhigh: $0.181, max: $0.404, auto: $0.404 / image

The full example input below costs $0.017 = 17 API credits (1 image × 17 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/openai/gpt-image-2.5/flare/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 – 32000 characters | Leid a úsáidtear chun íomhánna a ghiniúint. |
| `image_size` |  | object {width, height} \| enum (string) | no | `landscape_4_3` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto` | Glacann toisí aschuir le hainm réamhshocraithe, réad {width, height}, nó 'auto' don rogha méide is fearr ón tsamhail. Ní mór do gach méid nithiúil a bheith inroinnte ar 16, gan ciumhais níos faide ná 3840px, cóimheas gné nach mó ná 3:1, agus líon iomlán picteilíní idir 655,360–8,294,400. |
| `background` |  | enum (string) | no | `auto` | `auto`, `transparent`, `opaque` | Cúlra na híomhá iarmharaí. |
| `quality` |  | enum (string) | no | `high` | `auto`, `low`, `medium`, `high`, `xhigh`, `max` | Roghnú cáilíochta íomhá, agus 'auto' ag fágáil an chinnidh faoin tsamhail. Bíonn moill níos faide agus úsáid níos mó tócan mar thoradh ar mhionsonraí breise ag socruithe níos airde. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 10 | Líon na n-íomhánna atá le táirgeadh. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Formáid comhaid na n-íomhánna aschuir. |
| `output_compression` |  | integer \| null | no |  | 0 – 100 | Socrú comhbhrúite atá ar fáil do 'jpeg' nó 'webp' in output_format amháin; is é 0–100 an raon ceadaithe. |

## Example input

Required parameters only:

```json
{
  "prompt": "A flat vector sticker of a smiling cactus wearing sunglasses, thick white outline, no background"
}
```

A fuller example:

```json
{
  "prompt": "A flat vector sticker of a smiling cactus wearing sunglasses, thick white outline, no background",
  "image_size": "square_hd",
  "quality": "medium",
  "background": "transparent"
}
```

## 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/openai/gpt-image-2.5/flare/text-to-image?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A flat vector sticker of a smiling cactus wearing sunglasses, thick white outline, no background",
    "image_size": "square_hd",
    "quality": "medium",
    "background": "transparent"
  }'

# 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/openai/gpt-image-2.5/flare/text-to-image?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A flat vector sticker of a smiling cactus wearing sunglasses, thick white outline, no background",
    "image_size": "square_hd",
    "quality": "medium",
    "background": "transparent"
  }),
});
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 flat vector sticker of a smiling cactus wearing sunglasses, thick white outline, no background",
    "image_size": "square_hd",
    "quality": "medium",
    "background": "transparent",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/openai/gpt-image-2.5/flare/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": "openai/gpt-image-2.5/flare/text-to-image",
      "input": {
        "prompt": "A flat vector sticker of a smiling cactus wearing sunglasses, thick white outline, no background",
        "image_size": "square_hd",
        "quality": "medium",
        "background": "transparent"
      },
      "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": "openai/gpt-image-2.5/flare/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": 17,
    "usd": "0.017",
    "charged": 17,
    "refunded": 0
  },
  "input": {
    "prompt": "A flat vector sticker of a smiling cactus wearing sunglasses, thick white outline, no background",
    "image_size": "square_hd",
    "quality": "medium",
    "background": "transparent"
  },
  "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,
        "width": 1024,
        "height": 768
      }
    ]
  },
  "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, width, height} | Íomhánna a tháirgeann an tsamhail. |

## Related models

- [GPT Image 2.5 Sunburst Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/sunburst/text-to-image.md) (`openai/gpt-image-2.5/sunburst/text-to-image`): $0.054 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [GPT Image 2.5 Sunburst Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/sunburst/edit.md) (`openai/gpt-image-2.5/sunburst/edit`): $0.128 / 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
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image

## Links

- HTML page: https://doitong.com/developers/models/openai/gpt-image-2.5/flare/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=openai/gpt-image-2.5/flare/text-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/openai/gpt-image-2.5/flare/text-to-image