Ramp Router
Intelligently routes across multiple AI models by quality, cost, and availability
About Ramp Router
Ramp Router connects multiple AI models through an API compatible with OpenAI and Anthropic, selecting the right model for each request based on quality, cost, and availability. It is designed to reduce inference costs, helping individual developers and U.S. teams switch between models while reducing vendor lock-in. Users can choose U.S.-hosted models that provide zero data retention, but Router stores model inputs, outputs, and metadata and uses them to improve the service.
Best for
Best use cases
Access multiple AI models through a unified entry point
Reduce inference costs based on request needs
Switch quickly from OpenAI or Anthropic SDKs
Features
Unified model access
Access multiple AI models through one endpoint.
Smart cost routing
Selects the right model for each request based on quality, cost, and availability.
Compatibility with popular SDKs
Provides OpenAI- and Anthropic-compatible APIs, supporting model switches by updating the base URL.
Zero data retention option
Choose U.S.-hosted models that provide zero data retention.
Pros
- Matches models based on quality, cost, and availability
- Compatible with OpenAI and Anthropic APIs
- Switch between multiple models
Cons
- Currently available to users in the United States; not yet fully open in other countries and regions
- Router stores inputs, outputs, and metadata and uses them to improve the service
Pricing Plans
Free routing through 2026
- Routing service is free
- The official provider covers the first $26 of usage
* Pricing information is for reference only. Please refer to the latest announcement on Ramp Router's official website.