OpenAI’s developer documentation includes an API model catalog that lists current models, model identifiers, capability summaries, and links to more detailed pages.
According to the supplied source metadata, the catalog presents GPT-5.6 as a flagship option for complex reasoning and coding, GPT-5.6 pro as a higher-compute option, and smaller variants aimed at lower latency and cost.
What the source says
This is an official developer-documentation source rather than an independent review or benchmark.
The catalog is described as a place to find available API models and their identifiers, along with concise capability information and model-specific documentation links.
The metadata characterizes the listed lineup in terms of a flagship reasoning-and-coding model, a higher-compute “pro” alternative, and smaller options with latency and cost tradeoffs.
OpenAI Developers
OpenAI API model catalog
Official documentation link supplied in the source metadata.
Why it may matter
Model names and API availability can change, so an official catalog can be a useful starting point before designing or updating an integration.
The source may help teams distinguish between models intended for demanding reasoning or coding work and variants positioned around faster or less costly operation.
That positioning is not, by itself, a guarantee of performance for a particular workload. Actual suitability depends on task quality, latency needs, pricing, context requirements, reliability expectations, and implementation choices.
How to use and evaluate it
Use the catalog as a documentation reference, then test against your own requirements.
Confirm the exact model identifier and follow the linked model-specific documentation before changing production code. Check relevant details such as supported capabilities, limits, pricing, and deprecation or availability notices.
Run a small evaluation with representative prompts and success criteria. Compare output quality, response time, token usage, and operational behavior across candidate models rather than selecting solely from the catalog’s summary labels.
Treat practical workflow advice from a creator review as an individual experience, not as confirmation of current API availability or universal results; use the official catalog for the latter.
The catalog appears most useful as an authoritative index of the API models OpenAI lists at a given time. Pair it with task-specific testing before making an architecture or procurement decision.