GPT Image 2: OpenAI Image API Model Guide

Official-source notes for the gpt-image-2 model code, image generation boundary, and Flowith model comparison path.

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Official source boundary

What to verify before using GPT Image 2

GPT Image 2 should be evaluated as an API image model first: confirm the model code, endpoint behavior, generation or editing scope, related model fit, and cost controls before treating it as a drop-in creative workflow.

Route handoff: keep GPT Image 2 for image generation and editing intent; move to Sora 2 or Kling 3.0 when motion becomes the requirement, or DeepSeek V4 when the task becomes code, research, or planning. The reciprocal route map keeps image, video, and assistant comparisons discoverable without implying identical availability or pricing.

AI image model generation and editing official API boundary related model comparison source-neutral internal links reciprocal route map comparison anchors crawlable comparison anchor image route decision path AI model link map assistant-image-video bridge query intent comparator

Official model code

OpenAI's model documentation identifies the API model as gpt-image-2 for image generation and editing workflows.

API boundary

Use the Image API and image-generation guide for model selection, image size, quality, and cost-estimation details.

Claim boundary

Do not infer consumer-app pricing, availability, or benchmark performance from the model code alone.

Intent boundary

Keep still-image generation and editing on this route; move motion, audio, and cinematic prompt checks to the video-model routes.

How to Evaluate GPT Image 2

GPT Image 2 generation and editing scope visual

Image Generation and Editing Scope

Start with the official model page and image generation guide, then map your prompt to generation, editing, image size, and quality requirements.

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GPT Image 2 text-heavy creative review visual

Text-Heavy Creative Review

For signs, packaging, menus, and ads, test text accuracy in the generated image and keep review steps for brand and legal details.

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GPT Image 2 source-aware prompt planning visual

Source-Aware Prompt Planning

Treat real-world products, people, places, and regulated claims as source-sensitive details that need prompt context and human review.

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Model Choice Checklist

Use GPT Image 2 when the official model boundary and Flowith launch state match your image generation or editing task.

OpenAI's model documentation identifies the API model as gpt-image-2 for image generation and editing workflows.

Official model code
Source-safe check

Use the Image API and image-generation guide for model selection, image size, quality, and cost-estimation details.

API boundary
Source-safe check

Do not infer consumer-app pricing, availability, or benchmark performance from the model code alone.

Claim boundary
Source-safe check

Keep still-image generation and editing on this route; move motion, audio, and cinematic prompt checks to the video-model routes.

Intent boundary
Source-safe check

Potential GPT-Image-2 Use Cases

1

Marketing visuals & promotional assets

For ads, campaigns, and landing pages with clearer text in images

2

Product images

Product images for ecommerce, packaging, and branded content

3

Social media graphics

Social media graphics with stronger visual polish

4

Creative concept development

Creative concept development for design and content teams

Model authority route map

Compare nearby model routes before choosing a workflow

Use /ai-models/gpt-image-2 with source-neutral model links when search intent depends on model family, output type, or claim boundary. These links improve internal authority without adding unverified benchmark, price, or availability claims.

Frequently Asked Questions

GPT Image 2 is coming soon to Flowith. We are preparing model access and launch support now. Join the waitlist on this page and we will notify you as soon as it goes live.
OpenAI's API docs identify gpt-image-2 as an image generation and editing model. Treat model codes, API routes, size controls, quality controls, and cost-estimation details as implementation details to verify in the official docs before production use.
Compare them by the exact task: generation or editing, image size, quality setting, cost estimate, and prompt reliability. Use the official model page for GPT Image 2 and test against the available Flowith image models before switching a workflow.
Yes, if your workflow needs a dedicated image generation or editing model and the launch state supports it. For brand work, keep human review for text in images, product details, rights, and final asset accuracy.
Check the Nano Banana Pro, Seedream 5, and GPT-Image 1.5 routes if you need an available image workflow while GPT Image 2 launch support is being prepared.
Compare GPT Image 2 with GPT-Image 1.5, Nano Banana Pro, and Seedream 5.0 for image work. If the task becomes video or coding context, switch to Sora 2, Kling 3.0, or DeepSeek V4 instead of forcing an image model route.
GPT Image 2 best fits image generation and editing queries: marketing visuals, product images, social graphics, and prompt-to-image workflows. Use Sora 2 or Kling 3.0 when the query adds motion, audio, storyboard, or video review requirements.

Start Creating with GPT Image 2

Compare official model boundaries, Flowith launch state, and related image routes before choosing a production workflow.

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