Categories › AI & Agents › Models, LLM APIs, routing, serving, training & GPUs
Checks if a cheaper model agrees with your GPT, Claude or Gemini outputs, and what routing saves.
Remote server: your requests and data go to api.llmcutover.com. Claude Code: claude mcp add --transport http llm-cutover https://api.llmcutover.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
run_cutover_audit — Measures how often a cheaper model (Sage 2) agrees with your current LLM on your samples, the confidence threshold for routing, and the montlist_models — Current models with $/1M token prices and effort levels, usable as current.model.Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.