Pick your AI model based on evaluation results, not intuition
Compress prompts and reduce LLM API costs while preserving answers
Stage
Not given
Startup
Founded
Not given
2024
Based in
US
Not given
Pricing model
Not given
Free
Pricing
Not given
Open beta: $0/month with unlimited API calls, all features, and no credit card required. After beta: a generous free tier and simple usage plans with early users keeping their perks.
Key features
Automatic model routing based on evaluation results
GitHub repository integration for eval workflows
Stores evidence of evaluation results
Automatic re-evaluation when new models are released
Dashboard for monitoring routes
MCP server integration with ChatGPT, Claude, and Cursor
Configurable evaluation checks and criteria
Compress long prompts, logs and documents by removing filler while preserving code, numbers and facts
Convert web pages to clean Markdown instead of raw HTML
Shrink JSON responses into TOON format with headers and CSV-like rows
Available as MCP server for Claude, Cursor, Windsurf and VS Code
Gateway integration for OpenAI and Anthropic SDKs
REST API for direct integration
Self-hosted or hosted gateway options
Dashboard showing token and cost savings
Works with any chat model including local models
Output modes to control answer verbosity: lite, caveman and ultra
What makes it different
Test your own LLM applications against real models automatically
Routes requests to the best-performing model in real time
Automatically updates routing when new models are released
Keeps your eval results and configurations under your control
Rule-based compression takes milliseconds without using another LLM
Your API key never leaves your infrastructure when using self-hosted gateway
Streaming, tool calling and function calling work unchanged
Real-world savings up to 42% on monthly LLM bills according to calculator
BenchRouter
AgentReady