How to Use the GPT Image 2 API for 50% Off

OpenAI shipped GPT Image 2 on April 21, 2026 — their new flagship multimodal image model, with sharper prompt adherence, native reference-image support, and output up to 2000 pixels. The official price is $0.51 per 1024×1024 high-quality image.

We integrated it into the Hypereal API the next day. Our price: $0.03 per image. That's a flat 50% off, no strings.

This guide walks you through signing up, getting an API key, and running your first generation — both text-to-image and reference-image workflows.

Why Hypereal is a fraction of the price

We buy provider capacity in bulk through aggregator partners and pass the savings to developers. Our margin comes from volume, not markup. If you were planning to call the OpenAI endpoint directly, switching the base URL and key to Hypereal gets you the same model at half the cost.

In the Hypereal credit system, 100 credits = $1.00. GPT Image 2 costs 11 credits per image — rounded conservatively from $0.03.

Step 1: Get your API key

1. Sign up at hypereal.cloud
2. Open the dashboard → API Keys
3. Click Create Key, copy it, and store it in your environment: export HYPEREAL_API_KEY=sk-...

New accounts come with free trial credits — enough to run a few dozen test generations before you add funds.

Step 2: Your first image (curl)

curl -X POST https://api.hypereal.cloud/v1/images/generate \
  -H "Authorization: Bearer $HYPEREAL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "A Siamese cat astronaut floating above Saturn, cinematic lighting",
    "size": "1024x1024"
  }'

The response contains a public outputUrl you can download or embed directly.

Step 3: Python

import os, requests

resp = requests.post(
    "https://api.hypereal.cloud/v1/images/generate",
    headers={"Authorization": f"Bearer {os.environ['HYPEREAL_API_KEY']}"},
    json={
        "model": "gpt-image-2",
        "prompt": "Isometric cozy bookstore at dusk, warm lamps, rain on windows",
        "size": "1536x1024",
    },
    timeout=60,
)
print(resp.json()["outputUrl"])

Step 4: JavaScript / TypeScript

const res = await fetch("https://api.hypereal.cloud/v1/images/generate", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.HYPEREAL_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "gpt-image-2",
    prompt: "Portrait of a cyberpunk samurai, neon backlight, shallow depth of field",
    size: "1024x1536",
  }),
});
const { outputUrl } = await res.json();

Reference images (image-to-image)

GPT Image 2 accepts up to several reference images via the reference_images field. Pass public HTTPS URLs — base64 is not supported.

{
  "model": "gpt-image-2",
  "prompt": "Redraw this product photo in a minimalist Japanese ink-wash style",
  "size": "1024x1024",
  "reference_images": [
    "https://cdn.example.com/products/mug-front.jpg"
  ]
}

Use this for style transfer, product consistency, character references, or compositing prompts.

Supported sizes

Size	Aspect	Best for
1024x1024	1:1	Social, avatars, general use
1536x1024	3:2	Landscapes, hero banners
1024x1536	2:3	Portraits, mobile covers

Pricing comparison

Provider	Price per 1024×1024 HQ image	Per 1,000 images
OpenAI official	$0.510	$210.00
Hypereal	$0.03	$105.00
Savings	—	$105.00 (50%)

FAQ

Is the output identical to OpenAI's? Yes — we forward requests to the same upstream model. Pixel output and latency are equivalent.

Do I need to change my code if I'm already on OpenAI? Change the base URL to https://api.hypereal.cloud/v1 and swap your API key. That's it.

Are there rate limits? Free tier is 10 requests per minute. Paid plans scale up to 600 RPM.

Can I use base64 reference images? Not currently — only public HTTPS URLs. Upload to S3, Cloudflare R2, or any CDN first.

Get started

Create an account at hypereal.cloud, generate an API key, and ship your first GPT Image 2 image in under five minutes — at a fraction of the price you'd pay anywhere else.