The Problem
Modern AI applications face a complex challenge: there are dozens of LLM providers — OpenAI, Anthropic, Google, Meta, Mistral, and more — each with multiple models at different price points, capabilities, and performance characteristics.
Hardcoding a single provider creates several issues:
The Solution: LLM Routing
An LLM router sits between your application and LLM providers. It provides a unified API and intelligently routes each request to the optimal model based on your requirements:
Cost Optimization
Route simple requests to cheaper models. Reserve expensive models for complex tasks.
Latency Reduction
Route to the fastest endpoint. Seamlessly switch if one provider is slow.
Reliability
Automatic failover. If OpenAI is down, route to Anthropic or Google instead.
Quality Matching
Match the right model to each task. Specialized models for coding, general for chat.
How It Works
You send a request
Your application sends a standard OpenAI-compatible API request to the router.
The router evaluates
The router analyzes the request and applies your routing rules — considering cost, latency, and availability.
Request is routed
The router forwards to the optimal provider. If the primary choice fails, it automatically falls back.
Response is returned
You receive a standard response. Your application code stays the same regardless of which provider handled it.
Who Should Use an LLM Router?
LLM routing is valuable for any application making more than a few hundred API calls per day. Benefits scale with usage:
Our Mission
LLM Router is an independent comparison platform. We believe developers deserve transparent, unbiased information to make the best infrastructure decisions.
We evaluate LLM routers on what matters: pricing transparency, routing intelligence, provider coverage, reliability, and developer experience.
Our model repository aggregates benchmark scores, pricing, and specifications from official sources — a single place to compare the rapidly evolving LLM landscape.
Start Comparing
Explore our router comparisons and model repository.