# OpenAI GPT Image 1 Mini — Image Edit

> Integrate the ai gpt image 1 mini model for high-speed visual reasoning and OCR. Access OpenAI's cost-efficient vision API via GPTProto.com for low latency.

## Overview

- **Endpoint**: `GET https://gptproto.com/v1/images/edits`
- **Query endpoint**: `POST https://gptproto.com/api/v3/predictions/{id}/result`
- **Model ID**: `gpt-image-1-mini`
- **Vendor**: OpenAI
- **Scene**: `image-edit`
- **Category**: image-to-image
- **Modalities**: input image → output image
- **Model page**: https://gptproto.com/model/openai/gpt-image-1-mini/image-edit
- **API documentation**: https://docs.gptproto.com/docs/allapi/OpenAI/gpt-image-1-mini/official-format/image-edit
- **Other scenes of this model**: `text-to-image` — same auth, different endpoint path and input schema

## Authentication

Every request needs a GPTProto API key. Create one at https://gptproto.com/dashboard/api-key, then export it:

```bash
export GPTPROTO_API_KEY="your-api-key"
```

Header: `Authorization: Bearer $GPTPROTO_API_KEY`.

## Pricing

Platform price by tier (USD, already includes the GPTProto discount):

- **Image Output** — $0.0056 per 1K tokens
- **Image Input** — $0.0017 per 1K tokens
- **Cached Input** — $0.0002 per 1K tokens
- **Text Input** — $0.0014 per 1K tokens

Price range: $0 – $0 per generation.

Prices may change. The model page always shows the live price: https://gptproto.com/model/openai/gpt-image-1-mini/image-edit

## API Information

The examples below use this model's official request format. Submit the first request, then poll the query endpoint until the vendor operation finishes.

### Input Schema

See the cURL example below for the accepted request body.

## Usage Examples

### 1. Submit a request

```bash
curl --request GET "https://gptproto.com/v1/images/edits" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY"
```

```python
import os
import requests

url = "https://gptproto.com/v1/images/edits"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}"
}

response = requests.request("GET", url, headers=headers)
print(response.json())
```

```typescript
const response = await fetch("https://gptproto.com/v1/images/edits", {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
  },
});

const data = await response.json();
console.log(data);
```

### 2. Check status

Replace `{{operation_id}}` (or the operation name in the URL) with the value returned by the submit request, and keep polling until the operation completes.

```bash
curl --request POST "https://gptproto.com/api/v3/predictions/{id}/result" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json"
```

```python
import os
import requests

url = "https://gptproto.com/api/v3/predictions/{id}/result"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}",
  "Content-Type": "application/json"
}

response = requests.request("POST", url, headers=headers)
print(response.json())
```

```typescript
const response = await fetch("https://gptproto.com/api/v3/predictions/{id}/result", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
    "Content-Type": "application/json",
  },
});

const data = await response.json();
console.log(data);
```

## Example Prompts

- Change the background to grass.
- Replace the phone in the picture with headphones.
- Dress the model in the clothes and hat. Add a cat to the scene and change the background to a Victorian era building.

## HTTP Status Codes

- `400` — malformed body, a parameter or value this model does not accept, or input blocked by the provider's content moderation
- `401` — missing or invalid API key
- `403` — insufficient credits
- `413` — request body too large
- `429` — rate limited; retry with backoff
- `500` — An internal server error occurred
- `502` — An internal server error occurred
- `504` — Gateway timeout — upstream service did not respond in time; retry later

## Additional Resources

- [Model page](https://gptproto.com/model/openai/gpt-image-1-mini/image-edit)
- [API documentation](https://docs.gptproto.com/docs/allapi/OpenAI/gpt-image-1-mini/official-format/image-edit)
- [All models](https://gptproto.com/model)
- [API keys](https://gptproto.com/dashboard/api-key)
- [Platform overview for LLMs](https://gptproto.com/llm-full.txt)
- Any other model: `https://gptproto.com/model/{vendor}/{model}/{scene}/llms.txt`