# Nano Banana Pro API

> Google'ס שטאַרקסטער בילד־מאָדעל, מיט פֿאַרלעסלעכער לעטערינג, קאָמפּליצירטע אויסלייגן און רעזולטאַט ביז 4K.

אַ Gemini־באַזירטער בילד־מאָדעל וואָס טראַכט איבערן פּראָמפּט איידערן צייכענען, דערפֿאַר קומען פּאָסטערס, אינפֿאָגראַפֿיקן, מעניוס און פּראָדוקט־בילדער מיט לייענבאַרן טעקסט פיל אָפֿטער ריכטיק אַרויס ווי בײַ מאָדעלן וואָס נוצן בלויז diffusion. קלײַבט 1K, 2K אָדער 4K רעזולטאַט און יעדן געוויינטלעכן אַספּעקט־פֿאַרהעלטעניש, און לאָזט אים אָפּציאָנעל זוכן אויפֿן וועב כּדי צו באַזירן דאָס בילד אויף אַקטועלע פֿאַקטן. ביז פֿיר בילדער פּער בעטן.

- Model id: `nano-banana-pro`
- Made by: Google
- Category: Text to Image
- Output: image
- Price: from $0.15 / image (cheapest run $0.15 (150 API credits))
- Run: `POST https://api.doitong.com/v1/run/nano-banana-pro`
- Quote: `POST https://api.doitong.com/v1/quote/nano-banana-pro`
- Docs page: https://doitong.com/yi/developers/models/nano-banana-pro

## Pricing

Price: **from $0.15 / 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 `resolution` = 4K and `enable_web_search` = true: $0.315 (315 API credits) / image
- When `resolution` = 4K: $0.30 (300 API credits) / image
- When `enable_web_search` = true: $0.165 (165 API credits) / image

The full example input below costs $0.15 = 150 API credits (1 image × 150 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.com/v1/quote/nano-banana-pro` 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 |  | 3 – 50000 characters | טעקסט־אינסטרוקציעס געניצט צו גענערירן אַ בילד. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | געבעטן צאָל בילדער פֿאַר גענערירונג. |
| `seed` |  | integer \| null | no |  |  | גרעין־ווערט וואָס איניציאַליזירט ראַנדאָם־צאָל־גענערירונג. |
| `aspect_ratio` |  | enum (string) \| null | no | `1:1` | `auto`, `21:9`, `16:9`, `3:2`, `4:3`, `5:4`, `1:1`, `4:5`, `3:4`, `2:3`, `9:16` | אַספּעקט־פֿאַרהעלטעניש פֿאַר דעם רעזולטירנדיקן בילד. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | פֿײַל־פֿאָרמאַט פון דעם רעזולטירנדיקן בילד. |
| `safety_tolerance` |  | enum (string) | no | `4` | `1`, `2`, `3`, `4`, `5`, `6` | שטעלן אינהאַלט־מאָדעראַציע־טאָלעראַנץ צווישן דעם ווייניקסט באַגרענעצנדיקן ניוואָ, 6, און דעם שטרענגסטן ניוואָ, 1, וואָס בלאקירט רוב אינהאַלט. |
| `system_prompt` |  | string | no | `` | ≤ 50000 characters | אָפּציאָנעלע פּערסאָנאַ־און־רעזולטאַט־סטיל־אינסטרוקציע פֿאַר דער גאַנצער בקשה, געשיקט צו Gemini ווי אַ סיסטעם־אינסטרוקציע אָדער צו OpenAI־קאָמפּאַטיבלע פּראַוויידערס ווי אַ סיסטעם־מעסעדזש. ווען דער ווערט איז ליידיק, ווערט גאָרנישט געשיקט פֿאַר דער אינסטרוקציע. |
| `resolution` |  | enum (string) | no | `1K` | `1K`, `2K`, `4K` | רעזאָלוציע פונעם רעזולטאַט־בילד. |
| `limit_generations` |  | boolean | no | `true` |  | עקספּערימענטעלע גענערירונג־גרענעץ: אַקטיוויזירן `True` איבערשרײַבט יעדע בילד־צאָל־אינסטרוקציע אינעם פּראָמפּט און באַגרענעצט יעדן פּראָמפּטינג־קייַלעכיק צו 1 גענערירונג. |
| `enable_web_search` |  | boolean | no | `false` |  | וועב־זוכן־באַשטימער פֿאַר בילד־גענערירונג, וואָס דערלויבט דעם מאָדעל אַרײַנצונעמען אַקטועלע אָנליין־אינפֿאָרמאַציע אינעם בילד. |

## Example input

Required parameters only:

```json
{
  "prompt": "A minimalist poster for a jazz night called \"Blue Hour\", a saxophone silhouette against a deep blue sky, bold sans-serif title"
}
```

A fuller example:

```json
{
  "prompt": "A minimalist poster for a jazz night called \"Blue Hour\", a saxophone silhouette against a deep blue sky, bold sans-serif title",
  "aspect_ratio": "3:4",
  "resolution": "2K"
}
```

## 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/nano-banana-pro?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A minimalist poster for a jazz night called \"Blue Hour\", a saxophone silhouette against a deep blue sky, bold sans-serif title",
    "aspect_ratio": "3:4",
    "resolution": "2K"
  }'

# 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/nano-banana-pro?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A minimalist poster for a jazz night called \"Blue Hour\", a saxophone silhouette against a deep blue sky, bold sans-serif title",
    "aspect_ratio": "3:4",
    "resolution": "2K"
  }),
});
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 minimalist poster for a jazz night called \"Blue Hour\", a saxophone silhouette against a deep blue sky, bold sans-serif title",
    "aspect_ratio": "3:4",
    "resolution": "2K",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/nano-banana-pro", 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": "nano-banana-pro",
      "input": {
        "prompt": "A minimalist poster for a jazz night called \"Blue Hour\", a saxophone silhouette against a deep blue sky, bold sans-serif title",
        "aspect_ratio": "3:4",
        "resolution": "2K"
      },
      "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": "nano-banana-pro",
  "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": 150,
    "usd": "0.15",
    "charged": 150,
    "refunded": 0
  },
  "input": {
    "prompt": "A minimalist poster for a jazz night called \"Blue Hour\", a saxophone silhouette against a deep blue sky, bold sans-serif title",
    "aspect_ratio": "3:4",
    "resolution": "2K"
  },
  "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
      }
    ],
    "description": "string"
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | בילדער געשאַפֿן דורך דעם מאָדעל. |
| `description` | string | באַשרײַבונג וואָס באַגלייט די גענערירטע בילדער. |

## Related models

- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / 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

## Links

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