Cursor Router - Cursor introduces intelligent model routers for teams and enterprises.

What is a Cursor Router?

Cursor Router is Cursor's intelligent model router for teams and enterprises. Trained on over 600,000 real requests, it automatically routes each programming request to the most suitable model. Cursor Router offers three modes: Intelligence, Balance, and Cost, maintaining cutting-edge performance while saving 30%–60% in costs. It has been validated through large-scale online A/B testing, with user satisfaction and code retention rate as core evaluation metrics.

Main functions of Cursor Router

• Intelligent Request ClassificationBased on dimensions such as query content, context, task complexity, and domain, it automatically analyzes each request and routes it to the most suitable model.
• Three routing modes：
  • Intelligence ModePursuing maximum intelligent output while reducing costs by approximately 60%.
  • Balance modeBalancing performance and cost, it offers higher satisfaction than Opus 4.8, with a cost reduction of approximately 36%.
  • Cost modelPrioritize cost control
• Cache-aware decisionBoth training and evaluation consider cache hits, and the cost-saving data already includes the cost of cache misses caused by routing.
• Continuous model adaptationThe design supports frequent releases of new models, and routers can be easily updated to access newer, more powerful models.

How to use Cursor Router

• Team/Enterprise UsersCursor Router is available to Cursor Team and Enterprise users. It can be enabled by selecting Auto routing mode in the settings.
• Mode switchingIn the Cursor settings, switch between Intelligence, Balance, and Cost modes to adjust the trade-off between cost and intelligence.
• Automatic operationOnce enabled, no manual intervention is required; the system will automatically classify requests and route them in the background.

The core advantages of Cursor Router

• Significant cost reductionActual usage data from enterprise customers shows that costs are reduced by 30%–52% compared to using Opus 4.8 exclusively, with no decrease in quality.
• Quality increased rather than decreasedOnline A/B testing shows that the Auto Intelligence mode's satisfaction level is close to Fable's and about 15% higher than Opus 4.8.
• Real-world scenario verificationOnline testing based on millions of real requests, rather than small-scale offline evaluation, is closer to the actual development process.
• Model neutral: Do not bind to a single model, but flexibly use the strengths of each model. Use the cost-effective model for simple tasks and the inference model for complex tasks.

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