Cursor's costs hinge on context selection and mode choice: codebase-wide questions and Agent mode burn far more than scoped @-mentions and Tab. Ask narrow, escalate deliberately, and pick per-request models consciously instead of defaulting to the biggest.
A question scoped to two files costs a fraction of a codebase-wide one and usually answers better. Make broad context the exception.
Cursor lets you pick the model per chat: routine edits on a value model, the frontier model when the task earns it. Defaulting everything to the top model is the quiet budget killer.
If you just need an answer, chat costs one step; Agent mode will happily take twelve. Choose the loop only when you want the loop.
The provider-agnostic tactics (prompt caching, retry budgets, batch APIs) are in the general playbook.
Agent-mode tasks and codebase-wide questions consume multiple premium requests each. Scoped @-mentions, per-request model choice, and reserving Agent mode for real tasks stretch the quota dramatically.
Cursor supports custom API keys and OpenAI-compatible overrides, which moves you from plan quotas to whatever your endpoint charges — useful if you already have flat-rate or discounted capacity.
The structural version of all of this: run Cursor on a flat monthly price with unlimited tokens, and the bill stops being a variable to manage. 2-minute Cursor setup → · Best models for Cursor →