Pricing behavior — AI Coding Assistants
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Pricing
Pricing for Replit Agent
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 governance and permissions for production use
- Need integration with existing CI/CD and monorepo tooling
- Need workflows optimized for large codebases beyond prototypes
What gets expensive first
- Platform coupling can drive long-term switching cost
- Production hardening often requires leaving prototype-first workflows
- Enterprise compliance and permissions can be a gating factor
Plans and variants (structural only)
Grouped by type to show structure, not to rank or recommend SKUs.
Plans
- Self-serve - prototype-first - Start with individual plans for prototyping in a hosted dev environment.
- Teams - workspace + limits - Team plans are typically shaped by collaboration, project/workspace limits, and usage ceilings.
- Official site/pricing: https://replit.com/
Enterprise
- Enterprise - governance for production - If you move from prototypes to production, packaging is driven by permissions, auditability, and support expectations.
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.