# GPT Image 2.5 Edit API

> Edit atau gabungkan hingga 16 gambar referensi dengan model gambar OpenAI, dengan mask dan transparansi opsional.

Mode pengeditan GPT Image 2.5: jelaskan perubahan dan berikan hingga 16 gambar referensi, secara opsional dengan mask yang membatasi area tempat model boleh menggambar. Mendukung latar belakang transparan, lima tingkat kualitas, dan hingga sepuluh hasil per permintaan.

- Model id: `openai/gpt-image-2.5/flare/edit`
- Made by: OpenAI
- Category: Image Editing
- Output: image
- Estimated price per run: from $0.12 / image (cheapest run $0.12 (120 API credits))
- Run: `POST https://api.doitong.ru/v1/run/openai/gpt-image-2.5/flare/edit`
- Quote: `POST https://api.doitong.ru/v1/quote/openai/gpt-image-2.5/flare/edit`
- Docs page: https://doitong.com/id/developers/models/openai/gpt-image-2.5/flare/edit

## Pricing

Price: **from $0.12 / image** (the lowest tier; the quote prices your exact input). Estimated from the typical cost of one run, per output (`num_images`). The quote is exactly what the run charges.

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

- When `quality` = xhigh: base price × 1.8
- When `quality` = max: base price × 3

The full example input below costs $0.12 = 120 API credits (1 image × 120 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/edit` 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 | Prompt yang digunakan untuk membuat gambar. |
| `image_urls` | `images` | array of image URL | yes |  | ≤ 16 items | URL gambar referensi untuk pembuatan, dibatasi hingga 16 gambar. |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | URL gambar mask yang mengidentifikasi area untuk diedit selama pembuatan. |
| `image_size` |  | object {width, height} \| enum (string) | no | `auto` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto` | Dimensi output, disimpulkan dari gambar yang diberikan saat diatur ke 'auto'. |
| `background` |  | enum (string) | no | `auto` | `auto`, `transparent`, `opaque` | Latar belakang gambar yang dihasilkan. |
| `quality` |  | enum (string) | no | `high` | `auto`, `low`, `medium`, `high`, `xhigh`, `max` | Pilihan kualitas gambar, dengan 'auto' menyerahkan keputusan kepada model. Detail tambahan pada pengaturan yang lebih tinggi menyebabkan latensi lebih panjang dan penggunaan token lebih besar. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 10 | Jumlah gambar yang akan dibuat. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Format file gambar output. |
| `output_compression` |  | integer \| null | no |  | 0 – 100 | Pengaturan kompresi yang hanya tersedia untuk 'jpeg' atau 'webp' dalam output_format; rentang yang diizinkan adalah 0–100. |

File parameters (`images`, `mask`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "prompt": "Same sneaker, but on a snowy mountain trail in daylight",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  ]
}
```

A fuller example:

```json
{
  "prompt": "Same sneaker, but on a snowy mountain trail in daylight",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  ],
  "quality": "medium"
}
```

## 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/edit?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Same sneaker, but on a snowy mountain trail in daylight",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
    ],
    "quality": "medium"
  }'

# 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/edit?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Same sneaker, but on a snowy mountain trail in daylight",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
    ],
    "quality": "medium"
  }),
});
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": "Same sneaker, but on a snowy mountain trail in daylight",
    "images": [
        "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
    ],
    "quality": "medium",
}

# 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/edit", 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/edit",
      "input": {
        "prompt": "Same sneaker, but on a snowy mountain trail in daylight",
        "images": [
          "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
        ],
        "quality": "medium"
      },
      "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/edit",
  "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": 120,
    "usd": "0.12",
    "charged": 120,
    "refunded": 0
  },
  "input": {
    "prompt": "Same sneaker, but on a snowy mountain trail in daylight",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
    ],
    "quality": "medium"
  },
  "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} | Gambar yang dihasilkan oleh model. |

## 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 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
- [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 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image

## Links

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