# GPT Image 2.5 Edit API

> Hariri au unganisha hadi picha 16 za marejeleo kwa modeli ya picha ya OpenAI, ikiwa na maski na uwazi wa hiari.

Hali ya kuhariri ya GPT Image 2.5: eleza mabadiliko na tuma hadi picha 16 za marejeo, kwa hiari ukiambatanisha mask inayoweka kikomo eneo ambalo modeli inaweza kupaka rangi. Inaauni mandharinyuma yenye uwazi, viwango vitano vya ubora na hadi matokeo kumi kwa kila ombi.

- 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/sw/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 | Kidokezo kilichotumika kuzalisha picha. |
| `image_urls` | `images` | array of image URL | yes |  | ≤ 16 items | URL za picha za marejeleo kwa uzalishaji, zikiwa na kikomo cha picha 16. |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | URL ya picha ya maski inayotambua eneo la kuhariri wakati wa uzalishaji. |
| `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` | Vipimo vya tokeo, vinavyokadiriwa kutoka picha zilizotolewa vinapowekwa kuwa 'auto'. |
| `background` |  | enum (string) | no | `auto` | `auto`, `transparent`, `opaque` | Mandharinyuma ya picha inayotokana. |
| `quality` |  | enum (string) | no | `high` | `auto`, `low`, `medium`, `high`, `xhigh`, `max` | Uteuzi wa ubora wa picha, ambapo 'auto' hukabidhi uamuzi kwa modeli. Maelezo ya ziada katika mipangilio ya juu huleta ucheleweshaji mrefu na matumizi makubwa ya tokeni. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 10 | Idadi ya picha za kuzalisha. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Umbizo la faili la picha za tokeo. |
| `output_compression` |  | integer \| null | no |  | 0 – 100 | Mpangilio wa ukandamizaji unaopatikana tu kwa 'jpeg' au 'webp' katika output_format; masafa yake yanayoruhusiwa ni 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} | Picha zilizozalishwa na modeli. |

## 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