Back to Tools
Ramp launches its own AI model router, called Router
New
Route API requests to the best AI model based on cost and performance.
Overview
Router is Ramp's AI model routing service that intelligently directs requests across multiple large language models to optimize for latency, cost, or quality. It lets developers and companies dynamically switch between models without changing code. Built for teams managing multiple AI API integrations at scale.
Pros
- Automatically routes to cheapest or fastest model per request
- Switch between AI models without modifying application code
- Reduces AI infrastructure costs through intelligent model selection
- Integrates with existing Ramp expense management platform
✕ Cons
- Limited public information on pricing and availability
- Requires integration with Ramp's platform ecosystem
- Early-stage product with uncertain long-term roadmap
Key Features
Multi-model routing and switching
Cost and latency optimization
API request management
Model performance monitoring
Use Cases
Enterprise teams reducing AI infrastructure spending across multiple APIsDevelopers optimizing response times for latency-sensitive applicationsCompanies managing portfolios of AI model subscriptionsFintech and expense platforms integrating AI capabilities cost-effectively
Best For
Backend & API EngineersDevOps & Infrastructure TeamsAI Product ManagersFinance & Operations TeamsEnterprise Development Teams
Frequently Asked Questions
How does Router pricing work?▾
Router is integrated with Ramp's expense management platform, so costs are tracked and optimized through intelligent model selection. Pricing details depend on your Ramp account tier and API usage volume.
Is Router difficult to set up?▾
Router integrates with existing Ramp accounts and doesn't require code changes to switch between models. If you're already using Ramp, setup is straightforward; new users need to establish a Ramp account first.
What integrations does Router support?▾
Router connects directly to Ramp's expense management platform and works with multiple AI model providers. It manages API requests across different models without requiring modifications to your application code.
What are Router's main limitations?▾
Router's benefits are greatest for teams already using Ramp; standalone users may have a longer onboarding path. The routing logic is optimized for cost and latency, which may not suit all specialized performance requirements.
Who should use Router?▾
Router is ideal for teams running multiple AI models who want to reduce infrastructure costs and optimize latency without refactoring applications. It's especially valuable for Ramp users looking to manage AI spending alongside other business expenses.
Ratings & Reviews
Rate Ramp launches its own AI model router, called Router
Alternatives to Ramp launches its own AI model router, called Router
View AllL
LangChain
Framework for building applications with language models
Developer & API ToolsCompare →
O
Outlines
Constrain LLM outputs to valid JSON, regex, or custom formats.
Developer & API ToolsCompare →
G
Gaia by Mintlify
AI-powered API documentation and knowledge base generator
Developer & API ToolsCompare →
R
Repomix
Convert entire repositories into single AI-friendly files
Developer & API ToolsCompare →
A
Anthropic Claude API (Haiku/Opus)
API access to Claude AI models for developers
Developer & API ToolsCompare →
H
Hugging Face Models on Foundry Managed Compute
Run open-source models on Microsoft's managed compute infrastructure.
Developer & API ToolsCompare →