GPT Image 1.5 API

OpenAI's image generation and editing model (Dec 2025), the engine behind the ChatGPT Images experience, built for faster output, precise edits, and reliable instruction following.

Integrate GPT Image 1.5 with a single API call — one key, one unified endpoint, and shared billing across every model on Apiframe.

Get API Key Use in Apiframe Studio View GPT Image 1.5 API Docs

model: "gpt-image-1.5"

GPT Image 1.5 targeted edit adding a pair of sunglasses to a portrait while preserving the face and lighting

What's special about GPT Image 1.5

Part of OpenAI's GPT Image line

It powers the ChatGPT Images experience and is available to developers through the API as gpt-image-1.5.

Up to 4x faster generation

It produces images significantly faster than OpenAI's earlier image models, which speeds up iteration and high-volume work.

Surgical, precise editing

When you ask it to change one element, it changes only that element while preserving faces, logos, lighting, and composition.

Stronger instruction following

It adheres to prompts more reliably and lets you add, remove, combine, blend, or transpose elements with predictable results.

Better text rendering

It handles denser and smaller text more dependably than earlier versions, including structured layouts like tables.

Built into the GPT ecosystem

Because it sits alongside OpenAI's text and vision models, you can generate, edit, and iterate through natural language, and API image costs are roughly 20% lower than GPT Image 1.

Made with GPT Image 1.5

A few outputs generated through the GPT Image 1.5 API on Apiframe.

GPT Image 1.5 photorealistic product shot of a smartwatch on a marble surface in soft studio lighting — A photorealistic product shot of a smartwatch on a marble surface, soft studio lighting.

GPT Image 1.5 targeted edit changing a model's shirt from white to navy while keeping her face, hair, and background unchanged — Change only the model's shirt from white to navy, keeping her face, hair, and the background unchanged.

GPT Image 1.5 poster reading 'GRAND OPENING, SATURDAY 10AM' with clean modern typography — A poster reading 'GRAND OPENING, SATURDAY 10AM' with clean modern type.

GPT Image 1.5 composite combining a product photo and a lifestyle background into a single natural outdoor scene — Combine this product photo and this lifestyle background into a single natural scene.

GPT Image 1.5 infographic with a small data table comparing three pricing tiers with legible labels — An infographic with a small data table comparing three pricing tiers, legible labels.

GPT Image 1.5 edit adding a pair of sunglasses to a portrait without altering the face or lighting — Add a pair of sunglasses to this portrait without altering the face or lighting.

Overview

Endpoint: POST /v2/images/generate
Model ID: gpt-image-1.5
Params key: gptImageParams
Modality: Image
Provider: OpenAI
Avg. completion: ~15s

Capabilities

Aspect ratios1:1, 3:2, 2:3

Image inputSupported

Avg. time~15s

Quick start

Send a single POST /v2/images/generate request with your API key to generate with GPT Image 1.5. The call returns a jobId you can poll or receive via webhook.

curl -X POST https://api.apiframe.ai/v2/images/generate \
  -H "X-API-Key: afk_your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
        "prompt": "a sleek silver sports car on a coastal highway at sunset, hyper-realistic",
        "model": "gpt-image-1.5",
        "gptImageParams": {
            "input_images": "https://example.com/input.jpg",
            "quality": "auto",
            "background": "auto",
            "number_of_images": 1
        }
    }'

import requests

response = requests.post(
    "https://api.apiframe.ai/v2/images/generate",
    headers={
        "X-API-Key": "afk_your_api_key_here",
        "Content-Type": "application/json",
    },
    json={
        "prompt": "a sleek silver sports car on a coastal highway at sunset, hyper-realistic",
        "model": "gpt-image-1.5",
        "gptImageParams": {
            "input_images": "https://example.com/input.jpg",
            "quality": "auto",
            "background": "auto",
            "number_of_images": 1
        }
    },
)
print(response.json())  # { "jobId": "...", "status": "QUEUED" }

const response = await fetch("https://api.apiframe.ai/v2/images/generate", {
  method: "POST",
  headers: {
    "X-API-Key": "afk_your_api_key_here",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "prompt": "a sleek silver sports car on a coastal highway at sunset, hyper-realistic",
    "model": "gpt-image-1.5",
    "gptImageParams": {
      "input_images": "https://example.com/input.jpg",
      "quality": "auto",
      "background": "auto",
      "number_of_images": 1
    }
  }),
});
const { jobId } = await response.json();
console.log(jobId);

Response & job lifecycle

Generation is asynchronous. A successful submission returns 202 Accepted with a jobId. Poll GET /v2/jobs/{id} (or supply a webhook_url) until the status is COMPLETED; the result field then holds the output URL(s).

1. Submission response (202)

{
  "jobId": "b2c3d4e5-f6a7-8901-bcde-f23456789012",
  "status": "QUEUED"
}

2. Poll for the result

curl https://api.apiframe.ai/v2/jobs/JOB_ID \
  -H "X-API-Key: afk_your_api_key_here"

import requests, time

while True:
    job = requests.get(
        "https://api.apiframe.ai/v2/jobs/JOB_ID",
        headers={"X-API-Key": "afk_your_api_key_here"},
    ).json()
    if job["status"] in ("COMPLETED", "FAILED"):
        break
    time.sleep(2)
print(job["result"])

let job;
do {
  await new Promise((r) => setTimeout(r, 2000));
  job = await fetch("https://api.apiframe.ai/v2/jobs/JOB_ID", {
    headers: { "X-API-Key": "afk_your_api_key_here" },
  }).then((r) => r.json());
} while (job.status !== "COMPLETED" && job.status !== "FAILED");
console.log(job.result);

Input schema

Request parameters accepted by the GPT Image 1.5 endpoint. Model-specific options are nested under the params object shown below.

Parameter	Type	Required	Default	Allowed / range	Description
prompt	string	required	—	—	Text description of what to generate.
model	string	required	"gpt-image-1.5"	"gpt-image-1.5"	The model identifier for this endpoint.
gptImageParams.input_images	string (URL)	optional	—	—	Reference image (URL)
gptImageParams.quality	string	optional	"auto"	"auto", "low", "medium", "high"	Quality
gptImageParams.background	string	optional	"auto"	"auto", "opaque", "transparent"	Background
gptImageParams.number_of_images	number	optional	1	min 1, max 10, step 1	Number of images
gptImageParams.output_format	string	optional	"png"	"png", "jpeg", "webp"	Output format
gptImageParams.input_fidelity	string	optional	"low"	"low", "high"	How closely to follow input images when editing.

Frequently Asked Questions

Common questions about the GPT Image 1.5 API.

What is GPT Image 1.5?

OpenAI's image generation and editing model, released in December 2025, powering the ChatGPT Images experience and available via API.

How is it different from DALL-E 3?

It replaced DALL-E as OpenAI's image engine, with faster generation, more precise editing, better instruction following, and stronger text rendering.

How fast is it?

Up to four times faster than OpenAI's earlier image models.

Can it edit existing images?

Yes. It makes targeted edits while keeping faces, logos, lighting, and composition consistent.

Is it free?

It is available in ChatGPT, including the free tier with limits, while API access is paid and runs about 20% cheaper than GPT Image 1.

Where can you access it?

Through Apiframe, as well as ChatGPT and the OpenAI API.

Still have questions?

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