OpenAI logo

OpenAI: GPT Image 2 API

gpt-image-2

GPT Image 2 API exposes OpenAI's current image generation model through APINEED for production visuals that need stronger instruction following, layouts, text rendering, and flexible output sizes.

OpenAI describes GPT Image 2 as a fast, high-quality model for generation and editing with high-fidelity image inputs. APINEED submits it through POST /v1/media/generations, returns a durable task ID immediately, and exposes completed image URLs through the task resource instead of holding one HTTP request open.

MODALITIES
Price$15 / 1M image output tokensCONTEXT400K

Playground

Generate with OpenAI: GPT Image 2, review the output, and use the same request shape in your application.

Generation is unavailable until asynchronous model capabilities are verified.
Workflow
$15 / 1M image output tokensSign in required. Final cost uses completed usage.
Output Ready
GPT Image 2 generated image example 5
Sample output
Request preview
{
  "model": "gpt-image-2",
  "workflow": "text_to_image",
  "input": {
    "prompt": "A refined product photograph with natural lighting, realistic materials and a clean background."
  },
  "output": {
    "count": 1
  }
}

Providers

OpenAI documents the broader model capability. APINEED separately defines the model ID, endpoint, parameter whitelist, authentication, and billing behavior shown on this page.

API Need50% off
Uptime
Total Context
400K
Max Output
N/A
Input
$2.5/ 1M
Output
$15/ 1M
Cache Read
$0.625/ 1M
Cache Write
Route priced

Discount

Compare the published baseline with APINEED pricing for GPT Image 2 API. Final generation cost follows completed server usage. [2][3]

Official
Provider baseline
Input $5/ 1MOutput $30/ 1M
Baseline

Availability

APINEED monitors GPT Image 2 API availability. Applications should preserve request and task IDs and handle upstream failures explicitly.

System statusLast 90 days
APINEED GATEWAY99.49% uptime

GPT Image 2 API capabilities

GPT Image 2 is built for assets that must be readable, formatted for a destination surface, and usable with less cleanup. APINEED exposes the generation fields its current Images adapter accepts. [1][2][3]

Precise layouts and text

OpenAI highlights stronger layouts, multilingual text rendering, and instruction following for posters, diagrams, interfaces, and campaign assets. [1][2]

Generation and editing model

The official model supports text-to-image plus image editing with high-fidelity image inputs and flexible output dimensions. [1][2]

Asynchronous task lifecycle

APINEED returns a task ID without holding the browser connection open, so slow image generation is not tied to a single proxy timeout window. [3]

Direct object-storage delivery

Completed task records expose short-lived object-storage URLs, so applications download the image directly instead of proxying the full file through APINEED. [3]

Prompts for production-ready image output

Name the destination. State whether the image is a poster, product page asset, thumbnail, presentation graphic, or social format.

Write exact copy. Provide required text verbatim and describe hierarchy, alignment, and typographic character.

Poll by task ID. Persist the returned task ID and poll until succeeded or failed before reading outputs[].url.

Quick Start

Call GPT Image 2 with the verified APINEED endpoint and model-specific request shape.

1

Create an API key

Store your APINEED key server-side as API_NEED_API_KEY.

export API_NEED_API_KEY=sk-apineed-v1-...
2

Send the request

Use gpt-image-2 with POST /v1/media/generations.

curl https://apineed.com/v1/media/generations \
  -H "Authorization: Bearer $API_NEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-image-2",
  "workflow": "text_to_image",
  "input": {
    "prompt": "A refined product photograph with natural lighting, realistic materials and a clean background."
  },
  "output": {
    "count": 1
  }
}'
3

Poll the task

Save id, then poll GET /v1/media/generations/{id} every few seconds until the task is succeeded or failed.

curl https://apineed.com/v1/media/generations/$TASK_ID -H "Authorization: Bearer $API_NEED_API_KEY"
const images = task.outputs.filter((item) => item.type === "image").map((item) => item.url);

GPT Image 2 API Endpoint

Create an asynchronous image task, then use its task ID to retrieve status and direct object-storage output URLs.

POST/v1/media/generations
Authorization
Bearer $API_NEED_API_KEY
Content-Type
application/json
HTTP-Referer
optional - your site URL, for rankings
Model
gpt-image-2
GET/v1/media/generations/{id}
Authorization
Bearer $API_NEED_API_KEY
Content-Type
application/json
HTTP-Referer
optional - your site URL, for rankings
Model
gpt-image-2

Parameters

These controls follow APINEED's current DTO and adapter behavior. Unsupported upstream-only fields are intentionally omitted.

NameTypeValuesDescription
modelstringRequiredUse gpt-image-2.
workflowstringtext_to_image, image_editUse an APINEED-supported workflow.
input.promptstringRequiredDescribe the requested image.
input.assetsarrayRequired for image_editImage URLs with role input_image; up to 1 references.
output.countinteger1–10Published by the backend capability contract.

OpenAI: GPT Image 2 API questions

Practical answers for choosing, integrating, pricing, and operating the GPT Image 2 API on APINEED.

What is GPT Image 2 API best suited for?

OpenAI positions GPT Image 2 for production workflows requiring accurate instructions, readable text, polished layouts, localization, realistic imagery, and outputs that need less manual cleanup. [1][2]

Which APINEED endpoint does GPT Image 2 use?

Submit gpt-image-2 to POST /v1/media/generations, save the returned id, then poll GET /v1/media/generations/{id} until the status is succeeded or failed. [3]

How many images can one request return?

The verified provider-neutral contract currently accepts output.count set to 1. Submit separate tasks when you need independent variations. [3]

Which generation controls are available?

The asynchronous APINEED page exposes verified resolution, PNG or JPEG format, and a single output. [3]

Can GPT Image 2 edit an uploaded image in this playground?

Yes. The browser uploads local images directly to temporary private object storage and submits those URLs as input.assets with the input_image role. Blob URLs are never sent upstream. [2][3]

How should applications parse GPT Image 2 results?

Wait for status succeeded, then read outputs[].url. Each URL is short-lived and points directly to object storage, so download or copy the result before it expires. [3]

What happens when upstream generation is unavailable?

The public integration guide remains crawlable, while the registry can pause Generate. Production callers should preserve the request ID and surface the upstream error instead of retrying indefinitely. [3]

How to deploy OpenAI: GPT Image 2

Connect OpenAI: GPT Image 2 to your application through the APINEED media API.

1

Add credits

Add APINEED credits before submitting a billable generation.

2

Create an API key

Create and securely store an APINEED API key.

3

Configure the endpoint

Send gpt-image-2 requests to /v1/media/generations.

4

Track the task

Poll the returned task ID and store the completed image URL from outputs[].

More live models