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.


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.
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.
AI model authority map
Keep GPT Image 2 connected to nearby model decisions
Route image-generation intent to GPT Image 2, then switch to assistant, multimodal, or video model pages when the query asks for planning, source review, motion, audio, pricing, or implementation constraints.
How to Evaluate GPT Image 2
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.
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.
Source-Aware Prompt Planning
Treat real-world products, people, places, and regulated claims as source-sensitive details that need prompt context and human review.
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.
Use the Image API and image-generation guide for model selection, image size, quality, and cost-estimation details.
Do not infer consumer-app pricing, availability, or benchmark performance from the model code alone.
Keep still-image generation and editing on this route; move motion, audio, and cinematic prompt checks to the video-model routes.
Potential GPT-Image-2 Use Cases
Marketing visuals & promotional assets
For ads, campaigns, and landing pages with clearer text in images
Product images
Product images for ecommerce, packaging, and branded content
Social media graphics
Social media graphics with stronger visual polish
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
Start Creating with GPT Image 2
Compare official model boundaries, Flowith launch state, and related image routes before choosing a production workflow.