Cursor Router was trained on 600,000+ live requests and evaluated in online A/B tests across millions of real user requests, with user satisfaction (AFC) as the reward metric . It analyzes each request's query, context, task complexity, and domain, combined with learned knowledge of each model's strengths . It is also cache-aware in both training and evaluation, meaning reported savings include the cost of cache misses from model switching .
In early access with dozens of enterprise customers, Cursor observed 30–50% cost savings versus routing everything to Opus 4.8, with no decrease in quality . In broader A/B tests:
The stated 31–52% range is consistent with these figures — the lower end (~30%) matches early enterprise results, and the upper end (~60%) matches the published Auto Intelligence headline savings.
Cursor Router offers three modes that let users decide where they want to sit on the cost-intelligence Pareto frontier .
| Mode | Description |
|---|---|
| Intelligence | Frontier quality, matching the most expensive and powerful models that might be out of reach for daily use . |
| Balance | Strong quality, matching the frontier models most people like to daily drive . |
| Cost | Good quality, reaching the highest available intelligence while optimizing token spend . |
Users select these modes via the "Auto" option in the model picker . Balance and Intelligence bill at the routed model's rate .
Admins can :
Enterprise customers additionally get :
Cursor Router is available across desktop, web, iOS, CLI, and the SDK .
Cursor's annualized recurring revenue hit $2 billion in February 2026, doubling from $1 billion in just three months — making it one of the fastest-growing SaaS companies in history . About 60% of revenue comes from corporate clients .
This launch reflects a sharp industry turn: as AI coding usage scales at unprecedented speed, enterprise AI compute costs are ballooning. Model-routing solutions like Cursor Router directly address this by automatically matching task complexity to model cost, preventing the waste of paying frontier-model prices for routine work . The same trend is visible across the industry — competitors and third parties are building similar routers, and Cursor's own data showed that ~60% of developers were picking a single frontier model as their daily driver, causing spend to grow much faster than output quality .