An LLM router is the layer between an application and the model providers it depends on. Instead of hard-coding one model and one provider into every workflow, developers can route requests through a gateway that supports multiple models.

ModAPI gives developers a practical routing layer for AI applications that need model choice, cost awareness, and provider flexibility.

Why routing matters

Model choice changes quickly. A model that is best for one task may be too expensive for another. A model that works well today may become rate-limited, unavailable, or replaced by a better option.

An LLM router helps teams respond to those changes without rebuilding their application every time.

Common routing goals

Developers use model routing to:

  • Test alternative models with less integration work.
  • Keep applications connected when a provider has temporary issues.
  • Move lower-risk tasks to more cost-effective models.
  • Separate high-quality reasoning tasks from simple utility tasks.
  • Track usage and cost across model families.

How ModAPI helps

ModAPI combines model access, endpoint flexibility, usage tracking, and multimodal API support. That makes it useful not only for chat model routing, but also for products that use image, audio, video, embedding, rerank, and realtime APIs.