2026-05-16
Model Catalog for AI Developers
Use the ModAPI model catalog to compare AI models by provider, modality, endpoint support, and practical use case.
The ModAPI model catalog helps developers move from model discovery to integration. Instead of searching across many provider dashboards, a team can review available model options in one place and choose the right model for the task.
What a useful catalog should show
For developers, a model catalog is most useful when it answers practical integration questions:
- What provider or model family does this belong to?
- Is it for chat, reasoning, coding, image, video, audio, embeddings, or reranking?
- Which endpoint format does it support?
- What kind of product workflow is it good for?
- How should the team compare it against alternatives?
Why endpoint support matters
Two models may both be powerful, but they may not fit the same integration pattern. A text model may work well through an OpenAI-compatible chat endpoint. A video model may use an asynchronous task API. A rerank model may expect a query and candidate documents.
The catalog should help developers understand these differences before they write code.
Best use
Use the catalog when comparing model families, planning a multimodal workflow, or deciding whether a task needs a premium model, a faster model, or a more cost-effective alternative.