New Model Added: GPT Image 1 Mini Now Available

Date: 2025-10-08

Summary

AvalAI introduces support for OpenAI's GPT Image 1 Mini, a cost-efficient version of GPT Image 1 that offers faster and more affordable image generation while maintaining high-quality output. This model provides the same advanced language understanding and image generation capabilities as GPT Image 1 at a significantly reduced cost, making it ideal for high-volume applications.

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Details

OpenAI

• gpt-image-1-mini: A cost-efficient image generation model with advanced instruction-following capabilities and photorealistic output quality at reduced pricing. Documentation

GPT Image 1 Mini provides the same powerful image generation technology as GPT Image 1 but optimized for cost-effectiveness. This model is perfect for applications requiring high-volume image generation, prototyping, or scenarios where the reduced pricing offers significant advantages while still delivering excellent results.

Key Features

• Cost-Effective: Significantly lower pricing compared to GPT Image 1
• Multimodal Input: Accepts both text and image inputs for versatile use cases
• Quality Options: Support for low, medium, and high-quality generation modes
• Flexible Sizing: Multiple resolution options including 1024x1024, 1024x1536, and 1536x1024
• Advanced Editing: Combine or modify existing images with text instructions
• Masking Support: Edit specific parts of images while preserving others

Availability

GPT Image 1 Mini is available for Tier 3, 4, and 5 users on AvalAI.

Pricing Details

GPT Image 1 Mini offers significantly reduced pricing compared to GPT Image 1:

Token Type	Price per 1M tokens
Text Input	$5.00
Cached Text Input	$1.25
Image Input	$10.00
Cached Image Input	$2.50
Image Output	$40.00

Image Generation Pricing:

Quality	Size	Price per Image
Low	1024x1024	$0.011
Low	1024x1536 / 1536x1024	$0.016
Medium	1024x1024	$0.042
Medium	1024x1536 / 1536x1024	$0.063
High	1024x1024	$0.036
High	1024x1536 / 1536x1024	$0.052

GPT Image 1 Mini Usage Examples

Bash

curl https://api.avalai.ir/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "gpt-image-1-mini",
    "prompt": "A photorealistic image of a futuristic city with flying cars and tall glass buildings",
    "size": "1024x1024",
    "quality": "high",
    "response_format": "url"
  }'

Python

from openai import OpenAI

client = OpenAI(api_key="your-avalai-api-key", base_url="https://api.avalai.ir/v1")

# Generate a new image
response = client.images.generate(
    model="gpt-image-1-mini",
    prompt="A photorealistic image of a futuristic city with flying cars and tall glass buildings",
    size="1024x1024",
    quality="high",
    response_format="url",  # or b64_json
)

# Access the image URL
image_url = response.data[0].url
print(f"Generated image URL: {image_url}")

JavaScript

import { OpenAI } from "openai";

const client = new OpenAI({
  apiKey: process.env.AVALAI_API_KEY,
  baseURL: "https://api.avalai.ir/v1",
});

// Generate a new image
const response = await client.images.generate({
  model: "gpt-image-1-mini",
  prompt: "A photorealistic image of a futuristic city with flying cars and tall glass buildings",
  size: "1024x1024",
  quality: "high",
  response_format: "url", // or b64_json
});

// Access the image URL
const imageUrl = response.data[0].url;
console.log(`Generated image URL: ${imageUrl}`);

Image Editing with GPT Image 1 Mini

GPT Image 1 Mini also supports image editing capabilities:

Bash

curl https://api.avalai.ir/v1/images/edits \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -F model="gpt-image-1-mini" \
  -F image="@input_image.jpg" \
  -F prompt="Change the background to a tropical beach" \
  -F response_format="url"

Python

# Edit an existing image
with open("input_image.jpg", "rb") as image_file:
    response = client.images.edit(
        model="gpt-image-1-mini",
        image=image_file,
        prompt="Change the background to a tropical beach",
        response_format="url",  # or b64_json
    )

edited_image_url = response.data[0].url
print(f"Edited image URL: {edited_image_url}")

JavaScript

import fs from "fs";

// Edit an existing image
const response = await client.images.edit({
  model: "gpt-image-1-mini",
  image: fs.createReadStream("input_image.jpg"),
  prompt: "Change the background to a tropical beach",
  response_format: "url", // or b64_json
});

const editedImageUrl = response.data[0].url;
console.log(`Edited image URL: ${editedImageUrl}`);

Mask-Based Editing

For precise control over which parts of an image are modified:

# Edit with mask
with open("input_image.jpg", "rb") as image_file, open("mask.png", "rb") as mask_file:
    response = client.images.edit(
        model="gpt-image-1-mini",
        image=image_file,
        mask=mask_file,
        prompt="Add colorful flowers to the masked area",
        response_format="url",  # or b64_json
    )

Supported Endpoints

GPT Image 1 Mini is available on the following endpoints:

• v1/images/generations - For direct image generation
• v1/images/edits - For editing existing images

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Related Links

• GPT Image 1 How-To Guide
• Image Generation Guide
• OpenAI Models Documentation
• Pricing Information