AI teams rarely build around a single model for long. A product may start with one chat model, then add embeddings for retrieval, image generation for creative workflows, reranking for search quality, speech for voice features, or video generation for marketing and media.

ModAPI is designed to make that model discovery process easier. Instead of managing many provider accounts and separate API keys, developers can browse models, compare capabilities, and connect through one gateway.

What developers can find

ModAPI focuses on practical model access across common production categories:

  • Chat and reasoning models for assistants, agents, summarization, coding, and analysis.
  • Image models for generation, editing, product visuals, and creative assets.
  • Video models for text-to-video, image-to-video, and creative generation workflows.
  • Audio models for speech, transcription, and voice-enabled applications.
  • Embedding models for retrieval, semantic search, recommendations, and clustering.
  • Rerank models for improving search and retrieval quality.

Why a model catalog matters

A model catalog is more than a list of names. Developers need to understand what a model can do, which endpoint format it supports, how it is commonly used, and whether it fits a product workflow.

ModAPI brings model discovery closer to API usage, so a team can move from comparison to integration faster.

Where ModAPI fits

Use ModAPI when your team wants broad model access, a smaller integration surface, and more flexibility than a single-provider setup. It is especially useful for teams testing model alternatives, building multimodal products, or trying to keep provider lock-in low.