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 V1 sends generation and URL-based image references to POST /v1/images/generations, supports up to ten returned images, and parses URL or Base64 items from data[].

MODALITIES

Price$15 / 1M image output tokensCONTEXT400K

curl https://apineed.com/v1/images/generations \
  -H "Authorization: Bearer $API_NEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-image-2",
  "prompt": "A refined campaign image for a modern design object, soft directional light, accurate material texture, clean background, premium editorial styling.",
  "n": 1,
  "size": "1024x1024",
  "quality": "auto",
  "response_format": "url",
  "output_format": "png",
  "output_compression": 90,
  "watermark": false
}'

Playground

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

Upstream availability is monitored and generation can be paused without removing this public guide.

Output Ready

GPT Image 2 generated image example 5 — Sample output

Request preview

{
  "model": "gpt-image-2",
  "prompt": "A refined campaign image for a modern design object, soft directional light, accurate material texture, clean background, premium editorial styling.",
  "n": 1,
  "size": "1024x1024",
  "quality": "auto",
  "response_format": "url",
  "output_format": "png",
  "output_compression": 90,
  "watermark": false
}

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

APINEED50% off

Prepaid credits

Input $2.5/ 1MOutput $15/ 1M

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]

Multiple response images

APINEED accepts n from 1 through 10 and settles against the number of generated images reported by the response. ^[3]

Explicit output handling

The APINEED page can request URL or Base64 results and traverse every item in data[] rather than assuming a single image. ^[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.

Request several candidates deliberately. Use n for meaningful variations, then measure cost per accepted image instead of cost per request alone.

GPT Image 2 API Gallery

Quick Start

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

Create an API key

Store your APINEED key server-side as API_NEED_API_KEY.

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

Send the request

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

curl https://apineed.com/v1/images/generations \
  -H "Authorization: Bearer $API_NEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-image-2",
  "prompt": "A refined campaign image for a modern design object, soft directional light, accurate material texture, clean background, premium editorial styling.",
  "n": 1,
  "size": "1024x1024",
  "quality": "auto",
  "response_format": "url",
  "output_format": "png",
  "output_compression": 90,
  "watermark": false
}'

Parse the image

Read every item in data[] and handle either its url or b64_json value.

const images = response.data.map((item) => item.url ?? item.b64_json);

GPT Image 2 API Endpoint

Create one or more images through the OpenAI-style Images API and parse every returned data item.

POST/v1/images/generations

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.

Name	Type	Values	Description
`model`	string	Required	Use gpt-image-2.
`prompt`	string	Required	Image generation instruction.
`images`	string[]	Optional	Short-lived accessible reference-image URLs for image-to-image generation.
`n`	integer	1-10	Number of images requested.
`size`	string	auto or preset	ASCII image dimensions passed to APINEED.
`quality`	string	auto, low, medium, high	Quality preference passed through by APINEED.
`response_format`	string	url, b64_json	Selects URL or Base64 response items.
`output_format`	string	png, jpeg, webp	Generated image file format.
`output_compression`	integer	0-100	Compression level for JPEG and WebP output.
`watermark`	boolean	Optional	Forwards the watermark preference.

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?

Send gpt-image-2 to POST /v1/images/generations. This page does not route text generation through Chat Completions. ^[3]

How many images can one request return?

APINEED validates n from 1 through 10. The page renders every returned data[] item and supports either url or b64_json output. ^[3]

Which generation controls are available?

The APINEED page exposes image count, supported size presets, quality, URL or Base64 response mode, PNG/JPEG/WebP output, compression, and watermark preference. ^[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 the resulting short-lived URLs in images. Blob URLs are never sent upstream. ^[2][3]

How should applications parse GPT Image 2 results?

Iterate over response.data and read each item's url or b64_json field. Do not assume the response contains only one image. ^[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 GPT Image 2

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

Add credits

Add APINEED credits before submitting a billable generation.

Create an API key

Create and securely store an APINEED API key.

Configure the endpoint

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

Handle the result

Store each URL or decoded Base64 image returned in data[].

More live models

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