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ImageOpenAI

gpt-image-2

GPT Image 2 is exposed through Pixapi for high-quality image generation and editing with low, medium, high, and auto quality tiers plus custom output sizes.

LatestQuality tiersText to imageImage to image

Pricing details

Transparent usage pricing with no hidden fees. Pay only for successful outputs.

Credits by size and quality

Credits per image are determined by output size tier and quality. quality=auto is billed as high.

RuleCreditsNotes
1K (long edge <= 1536px)low 1 · medium 4 · high/auto 14size=auto defaults to 1K.
2K (long edge <= 2048px)low 2 · medium 17 · high/auto 67-
4K (long edge <= 3840px)low 4 · medium 34 · high/auto 133-

* Final billing follows the actual model output and dashboard records.

gpt-image-2 API facts

These fields are the citable integration facts for this model page.

Canonical model idgpt-image-2
Provider shown on PixapiOpenAI
Supported capabilitiesText to image, Image to image
API endpointsPOST /v1/images/generations, POST /v1/async/images/generations, POST /v1/images/edits, POST /v1/async/images/edits
Required request fieldsmodel, prompt
Returned output fieldscreated, data[].url, data[].b64_json
Starting credit costfrom 1 Credit/image

gpt-image-2 professional API access

GPT Image 2

Pixapi connects gpt-image-2 from OpenAI behind one production-ready API contract, covering authentication, credit metering, response normalization, and dashboard visibility.

Get key

gpt-image-2

Model id

OpenAI

Provider

from 1 Credit/image

Starting cost

2

Capabilities

How teams use the gpt-image-2 API in production

gpt-image-2 API gives teams a documented route for image generation with Pixapi authentication, credits, and model-specific guidance.

gpt-image-2 API keeps the model id explicit in your backend configuration.
gpt-image-2 API connects model choice to pricing, docs, and related routes.
gpt-image-2 API lets teams test a route without managing a separate provider account.
gpt-image-2 API supports product planning because cost, capability, and output behavior stay visible.

A reliable gpt-image-2 API page should explain more than the model name. Pixapi uses the gpt-image-2 API page to show what the model does, how the request is routed, how credits are consumed, and where developers can find the matching docs. When a team evaluates the gpt-image-2 API, it can judge capability, cost, and implementation effort before committing the route to a production feature.

The gpt-image-2 API is useful when a product needs a clear backend contract. Instead of exposing provider credentials or model experiments in the browser, teams can call the gpt-image-2 API from a server route, store the request id, and map outputs to their own users. That keeps the gpt-image-2 API aligned with customer permissions, rate limits, moderation rules, and asset retention policy.

For model comparison, the gpt-image-2 API should be easy to evaluate against related routes. Pixapi keeps the gpt-image-2 API beside pricing tables, feature cards, use cases, and related models so teams can compare quality, speed, and cost. If another route becomes a better fit, the surrounding API key, credit balance, and dashboard workflow remain familiar after testing the gpt-image-2 API.

Cost planning is another reason to read the gpt-image-2 API page before implementation. The gpt-image-2 API shows how Pixapi thinks about successful outputs, credit usage, and production monitoring. Product teams can decide whether the gpt-image-2 API belongs in a free tier, a paid plan, an internal workflow, or a high-volume batch process before customer demand increases.

Documentation quality matters for the gpt-image-2 API because developers and coding agents both need exact endpoint patterns. Pixapi links the gpt-image-2 API to model docs and request examples so implementation can stay close to the current contract. A clear gpt-image-2 API page reduces guesswork around model ids, prompt fields, response handling, and operational follow-up.

Choose the gpt-image-2 API when this model matches the creative or media job your product needs. Pixapi wraps the gpt-image-2 API with account management, credits, pricing context, related routes, and support touchpoints. That makes the gpt-image-2 API easier to move from a one-request test into a maintained feature that your users can rely on.

Model features

Production capabilities for builders who need reliable creative model access.

Text-to-image and editing

Use /v1/images/generations for prompts and /v1/images/edits when input images are provided.

Quality and size controls

Choose low, medium, high, or auto quality and request preset or valid custom sizes.

Gemini fallback friendly

When GPT Image 2 capacity is constrained, compare with Gemini 3 Pro Image Preview or Gemini 3.1 Flash Image Preview.

Unified API contract

Use GPT Image 2 without provider-specific account setup, signatures, or response mapping.

Enterprise stability

Redundant infrastructure, request tracing, and a 99.9% availability target for production traffic.

Fast asset delivery

Generated media can be stored and distributed through Pixapi's global delivery layer.

Credit billing

Track usage and remaining credits from one dashboard across your connected models.

Use cases

Typical workflows where teams connect this model through Pixapi.

High-fidelity creative assets

Generate polished application graphics, campaign visuals, and commercial compositions.

Text and layout sensitive images

Use GPT Image 2 when prompt adherence, readable text, or precise composition matters.

Large-format output

Request 2K or 4K-style custom sizes when your workflow needs larger assets.

Application integration

Embed GPT Image 2 in SaaS products, internal tools, automations, and user-facing workflows.

Batch production

Run high-volume creative jobs with consistent costs, retries, and operational visibility.

Quick start

Connect the model in minutes with the same API key and billing account.

1

Create an account

Sign up for Pixapi and open your developer dashboard.

2

Add credits

Recharge once and use the balance across supported models.

3

Generate a key

Create an API key, choose the model id, and send your first request.

Frequently asked questions

What size values does GPT Image 2 accept?

Use auto, common preset sizes, or custom WIDTHxHEIGHT values that follow the provider limits.

How is GPT Image 2 priced?

GPT Image 2 starts at 1 credit per image. Credits follow the docs matrix: 1K low/medium/high is 1/4/14, 2K is 2/17/67, and 4K is 4/34/133. quality=auto is billed as high.

Does GPT Image 2 support editing?

Yes. Use /v1/images/edits with multipart image file fields.