Public Versions and Endpoints
| Model ID | Endpoints | Price | Catalog |
|---|---|---|---|
gpt-4o-image
|
/api/v1/gpt_4o_image/text_to_image
|
$0.06 / call | Model detail |
Verify
Poll until the task reaches a terminal status
POST /api/v1/gpt_4o_image/text_to_image and save the returned Task id.
GET /api/v1/gpt_4o_image/text_to_image/<task-id> until status is completed or failed.
Verify the completed response contains the endpoint-specific output documented in the API reference.Configuration
Guide endpoint: /api/v1/gpt_4o_image/text_to_image
export RUNAPI_API_KEY=your_api_key
curl -X POST https://runapi.ai/api/v1/gpt_4o_image/text_to_image \
-H "Authorization: Bearer $RUNAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o-image",
"prompt": "A cobalt vase on white marble.",
"aspect_ratio": "1:1"
}'Get Started in 3 Steps
-
Choose a model ID
Select a public catalog model ID and review its endpoint and current starting price.
-
Configure RunAPI
Set RUNAPI_API_KEY before making the endpoint request.
-
Verify the result
For asynchronous endpoints, poll the same endpoint until the Task reaches a terminal status.
What to Build with OpenClaw + GPT-4o Image
-
Marketing and product visuals
Generate campaign images, product shots, and social creatives from a written brief.
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Batch creative variations
Produce many versions of a concept in one run to compare styles, layouts, and formats.
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Editing and inpainting
Refine an existing image by describing changes to its background, objects, or details where the model offers editing endpoints.
Why Use GPT-4o Image Through RunAPI + OpenClaw
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1 variants, one API key
Use one RunAPI connection to choose among the live model variants without changing your integration.
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Clear usage pricing
See current catalog pricing before you send a request, with no subscription or minimum spend required.
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Automatic task workflows
Submit, poll, and collect asynchronous results through a consistent task workflow without writing manual polling code.
OpenClaw + GPT-4o Image Questions
What makes GPT-4o Image different from GPT Image?
GPT-4o Image generates images natively within the GPT-4o conversation, using conversational context to inform the image. GPT Image is a standalone generation endpoint.
How does conversational context help?
The model uses the full conversation history to understand what you want — you can iteratively refine images by describing changes in natural language.
How many objects can it handle in one image?
GPT-4o Image handles many distinct objects in a single scene while maintaining compositional coherence and object identity.
Can I edit a previously generated image?
Yes — describe the changes in the conversation and the model modifies the existing image while preserving the rest of the scene.
Is it good for iterative design workflows?
Yes — the conversational interface makes it natural to iterate: generate, review, describe adjustments, and regenerate without rewriting the full prompt.
Which model ID should I use?
Choose a public model ID from the version table. Each ID exposes the endpoints shown for that version.
Does this guide configure a chat model?
No. This Model Line uses the endpoint workflow shown here and is not presented as an agent chat model.