When to choose ChatGPT Images 2.5 Flare
In OpenAI’s own API this option is named gpt-image-2.5-flare. Flare and Sunburst use model=chatgpt-2.5 but differ in quality; Flare sends quality=flare. Both accept up to 8 images. Keep the prompt and references identical to compare the results and price of each mode meaningfully.
ChatGPT Images 2.5 Flare: inputs and parameters
ChatGPT Images 2.5 Flare in runblob accepts a text prompt and optional reference images. Image input supports up to 8 references. The prompt limit is 4000 characters.
How to integrate the ChatGPT Images 2.5 Flare API
Connect ChatGPT Images 2.5 Flare through /v1/chatgpt-images/generate. Playground selection: model=chatgpt-2.5, quality=flare. Start with a text prompt and optional reference images, then review the parameters and request price. The form builds example JSON for this version, providing a starting point for a website, application or internal tool. Authentication and result retrieval are covered in the API documentation.
An editorial collage for an article
Start with a focused brief: an editorial collage for an article. Describe the subject, composition and lighting, then specify the details to preserve. Avoid changing every setting at once: keep the original prompt and compare alternatives with one change each. This makes evaluation of ChatGPT Images 2.5 Flare on your own assets more useful.
ChatGPT Images 2.5 Flare: API pricing and budget
Compare ChatGPT Images 2.5 Flare API pricing at matching settings: the selected mode. The table below reads the current rate and billing unit from the runblob catalog. Estimate a batch budget using the relevant request price and the number of attempts, including test iterations. When evaluating an affordable or cheap API, start with a small representative test set as well as the listed rate.