Pricing behavior — AI Coding Assistants
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Pricing
Pricing for Cursor
How pricing changes as you scale: upgrade triggers, cost cliffs, and plan structure (not a live price list).
Sources linked — see verification below.
Freshness & verification
Pricing behavior (not a price list)
These points describe when users typically pay more and what usage patterns trigger upgrades.
Actions that trigger upgrades
- Need enterprise rollout controls (SSO, policy, auditing) before standardizing
- Need clearer evaluation of agent changes to avoid regressions
- Need routing between completion-first and agent-first workflows by task
What gets expensive first
- The value comes from agent use; if used like autocomplete only, ROI can disappoint
- Agent changes increase review burden without automated test coverage
- Editor switching friction can slow adoption
- Policy/governance alignment can become the bottleneck for enterprise
Plans and variants (structural only)
Grouped by type to show structure, not to rank or recommend SKUs.
Plans
- Self-serve - editor subscription - Start with individual plans to validate the AI-first editor workflow (agents + multi-file changes) with your repos.
- Team adoption - standards required - Packaging isn’t the main risk; adoption is. Define review/testing expectations for agent-generated diffs before rollout.
- Official site/pricing: https://www.cursor.com/
Enterprise
- Enterprise - governance gate - Org-wide rollout usually depends on SSO/policy/audit requirements and how editor standardization is handled.
Next step: constraints + what breaks first
Pricing tells you the cost cliffs; constraints tell you what forces a redesign.
Open the full decision brief →Sources & verification
Pricing and behavioral information comes from public documentation and structured research. When information is incomplete or volatile, we prefer to say so rather than guess.