TL;DR
- Cursor Pro: $20/month per user. Cursor Teams: $40/user/month with SSO and shared project context.
- For a 5-person team: Cursor Pro costs $100/month, GitHub Copilot Pro $50/month, Copilot Pro+ $195/month.
- GitHub Copilot is cheaper, but Cursor provides deeper code context and fuller agentic workflow in one environment.
- Claude Code operates in a different paradigm: terminal-first, autonomous agents, no IDE-first UX.
- Real calculation for a 5-dev agency: Cursor Pro is approximately $100/month at current rates.
The question isn't "whether to buy". The question is "which plan and for whom".
Most articles about cursor ai pricing end with "Pro is $20, Teams is $40, Copilot is $10". That tells you nothing about what you actually get for that money or when you're overpaying.
In this post: full breakdown of Cursor AI pricing 2026 plans, comparison with GitHub Copilot and Claude Code, calculation table for a 5-person agency team, and concrete recommendations on who should buy what.
Cursor AI pricing: plans and what you actually get?
Cursor.com/pricing offers four tiers.
Hobby (free)
Limited agent queries and limited Tab completions. Good for testing and learning. In production work, limits hit after a few hours of daily use, making this plan unusable for a developer working 8-hour days.
Pro: $20/month
Extended agent limits, access to frontier models (Claude Sonnet 4.6, GPT-4o, Gemini), MCPs, skills, and hooks. This is the plan for individual developers who want AI assistance all day. Most developers working with Cursor sit on this plan and don't need more.
Teams: $40/user/month
Everything from Pro, plus shared project context for the entire team, SAML/OIDC SSO, team-wide rules and automations, security review agent, usage analytics, and centralized billing. Worth it when access management and workflow consistency have real business value.
Enterprise: custom pricing
Pooled usage, SCIM seat management, AI code tracking API and audit logs, granular model control, and priority support. Level for companies with 50+ devs where compliance and full data control are requirements, not options.
Cursor also offers annual billing, which gives approximately 20% discount on the Pro plan. For a stable team, that's $192/year per person instead of $240.
GitHub Copilot vs Cursor AI: where's the real difference?
GitHub Copilot has three paid plans:
- Free: 50 agent queries monthly, 2,000 completions monthly. Good for occasional use.
- Pro: $10/month: 300 premium requests monthly, unlimited chats and agent mode with GPT-4o mini, access to Claude, Codex, and Gemini.
- Pro+: $39/month: 1,500 premium requests monthly, access to Claude Opus 4.7, GitHub Spark (preview).
On paper, Copilot Pro is half the price of Cursor Pro. Here's the catch: Copilot lives inside GitHub. Cursor lives inside your IDE and has deeper access to entire project structure, its own agent mode with autonomous multi-step task execution, and native tools for working with large codebases.
Copilot wins if: your entire CI/CD and code review is on GitHub, team is small, you need simple suggestions and chat, and you don't want to switch to a new IDE.
Cursor wins if: you work on a large codebase (10,000+ lines), you want an agent that reads the entire project without re-explaining context every time, and you use MCP or hooks for workflow automation.
Claude Code: different tool for a different job
Claude Code works differently than Cursor and Copilot. It's not an IDE assistant with completions. It's a terminal agent that autonomously handles multi-step tasks: reads files, writes tests, commits, handles git, creates PRs, and runs scripts. More about how AI agents change developer workflow in our agents hub.
Claude Code cost is available through Claude Max subscription ($100/month for intensive use) or through Anthropic API (pay-per-token). With typical developer usage (several autonomous tasks daily), real API cost comes out to $20-80/month depending on session length and models.
This isn't an alternative to Cursor. It's a complement: Cursor for daily coding in IDE with AI assistance, Claude Code for automation, scripts, and autonomous agents running without supervision. In my team, exactly this combination gives the best cost-to-result ratio.
Real calculation: 5 developers, 12 months
Typical composition of a small agency: 2 seniors, 2 mids, 1 junior. Everyone uses AI tools daily.
| Tool | Plan | Cost/user/month | 5 users/month | Annually |
|---|---|---|---|---|
| Cursor | Pro | $20 | $100 | $1,200 |
| Cursor | Pro (annual) | $16 | $80 | $960 |
| Cursor | Teams | $40 | $200 | $2,400 |
| GitHub Copilot | Pro | $10 | $50 | $600 |
| GitHub Copilot | Pro+ | $39 | $195 | $2,340 |
| Claude Code | Max per developer | $100 | $500 | $6,000 |
| Claude Code | API (estimate) | $30-60 | $150-300 | $1,800-3,600 |
Cursor Pro for 5 devs is $100 monthly. For an agency with annual client contracts above $30,000, that's less than 2% of project cost.
Practical conclusion: Cursor Pro for a 5-person team isn't a budget decision. It's an organizational decision: whether you have a workflow that extracts value from it.
Cursor AI pricing Teams vs Pro: when is it worth paying more?
The jump from $20 to $40 (doubling the price per person) makes sense in two specific situations.
Situation 1: more than 3 people and shared project rules
Teams gives you team-wide rules, meaning a set of instructions that Cursor applies for the entire team, not just one user. If you want everyone to write in the same style, stick to the same guardrails, and use shared skills, Pro for each user won't replace that. Each developer sets their own rules separately, which quickly leads to divergence.
Situation 2: SSO and compliance
SAML/OIDC SSO is a requirement for many corporate clients and public organizations. Without Teams, you can't buy Cursor as a team tool with centralized access management and audit. If your client sets this condition: Teams is the only option.
For freelancers and 2-person teams without SSO needs: Pro is sufficient in 95% of cases.
Which tool makes sense for which project?
Cursor Pro pays off if:
- Developer spends 6+ hours daily in IDE with code
- Project is a larger codebase with its own architecture
- You want an agent that understands the project without explaining context from scratch
- You use MCP or hooks for automating daily tasks
GitHub Copilot Pro pays off if:
- Hard budget limit on AI tools
- You need basic suggestions and chat without changing IDE
- Workflow is heavily GitHub-centric: Actions, Codespaces, code review in PRs
Claude Code pays off if:
- You're building agents and automations to handle repetitive processes
- You need an autonomous agent operating without IDE, e.g., in CI/CD pipeline
- You have multi-step tasks that must run without human supervision
Traps in AI tools cost calculation
Trap 1: usage-based billing without alerts
Cursor (and Copilot Pro+) offer usage-based billing after exceeding limits. Intensive agent sessions for several days in a row can double your bill. Set billing alerts before you feel it on the invoice.
Trap 2: duplicate subscriptions
It happens that a developer pays for Cursor Pro out of pocket, the company pays for Copilot from IT budget, and both tools are only half-used. Inventory active subscriptions in the team before signing another one.
Trap 3: plan "on principle" instead of "for need"
Cursor Teams makes sense with 4+ people and real need for SSO or shared rules. With a 2-person team, you're paying $80/month for features you don't use. Start with Pro, move to Teams when a concrete need appears, not preemptively "just in case".
Where does ROI come from at $20 monthly?
$20/month over 21 working days is under $1 daily. For the tool to be profitable, it must save more than 1 dollar of daily work, which at a $50/hour rate means 15 minutes of productivity daily.
From my experience: Cursor shortens boilerplate writing and API function lookup time by 30-40% for typical tasks. With 3-4 hours of coding daily, that's 1-2 hours less repetitive work. ROI is decidedly positive at any developer rate above $50/hour.
Key point: this depends on workflow. A developer who uses Cursor as glorified autocomplete won't extract as much as a developer who built their own rules, skills, and hooks. The difference between surface-level and deep usage is often the difference between 10% and 40% time savings.
If you want to know how to implement AI tools into your team's workflow so they actually work instead of sitting unused, reach out. AI workflow consultation is the first step. Details and quotes in our services.