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Windsurf Pricing in 2026: Free, Pro, Teams, and Max
Windsurf pricing in 2026: Free, Pro at $20/month, Teams at $40/user, and Max at $200/month. What each quota actually covers.
What Windsurf actually charges in 2026
Windsurf's pricing changed in March 2026, replacing its older credit system with usage quotas per plan. The current numbers, verified:
| Plan | Price | What it's for |
|---|---|---|
| Free | $0/month | Evaluation, light personal use, limited daily quota |
| Pro | $20/month | Individual developers who use AI edits daily |
| Teams | $40/user/month | Teams that need shared billing and admin controls |
| Max | $200/month | Heavy users running large agentic workflows |
Tab autocomplete, Windsurf's inline suggestion feature, is unlimited on every plan including Free. The quota governs the more expensive operations: AI-driven multi-file edits and autonomous agent runs. Usage beyond a plan's included quota is billed at underlying model API cost, which can vary depending on which model handled the request and how complex the task was.
Why the pricing changed
Credit-based pricing made it hard for a user to predict cost before running a task, since credit consumption varied by model and task complexity in ways that weren't obvious upfront. The move to fixed monthly quotas trades some flexibility for predictability: a Pro user knows their $20 covers a defined amount of usage before overage kicks in, rather than watching a credit balance drain unpredictably.
This is also worth reading in the context of ownership. Windsurf's pricing changes are announced through Cognition's Devin blog, not a standalone Windsurf channel, following Cognition's acquisition of the Windsurf product. Pricing decisions for Windsurf are now made as part of Cognition's broader product line rather than in isolation.
What this actually costs a team
For a 10-person engineering team on Teams, that's $400/month before any overage. Heavy individual users who blow through the Pro quota regularly are the ones Max is built for, at $200/month for a single seat, which only makes sense if that person's output genuinely justifies a 10x jump from Pro.
The harder cost to plan for is overage. Because extra usage bills at underlying model API price, a month with unusually complex tasks, larger context windows, or a more expensive model routed to a request can cost meaningfully more than the base plan implies. Independent cost breakdowns of the July 2026 pricing flag the same thing: teams evaluating Windsurf at scale should budget for that variance rather than assuming the sticker price is the ceiling.
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Open the free LLM cost calculatorHow the quota actually plays out day to day
A quota-based plan is easier to reason about than a credit balance, but it still requires understanding what counts against it. Reading and reviewing code, basic autocomplete, and simple single-file suggestions typically don't touch the quota meaningfully. What consumes it is the AI actually doing work on the developer's behalf: generating a multi-file change, running an autonomous agent loop that edits several files in sequence, or handling a large context window across an entire codebase.
This is worth knowing before comparing sticker prices across tools, because two products advertising similar monthly numbers can meter very differently underneath. A plan that's generous with autocomplete but stingy with agentic edits will feel expensive fast for a team that leans heavily on autonomous workflows, even if the headline price looks competitive against a nominal Windsurf Pro or Max seat.
Budgeting for a mixed team
Most engineering teams aren't uniform in how much they lean on AI tooling. A senior engineer using Windsurf mainly for autocomplete and the occasional multi-file refactor will sit comfortably inside a Pro quota. A team member running agentic workflows most of the day, generating scaffolding, running test suites, iterating on larger changes, will burn through the same quota far faster and may need Max, or will regularly hit overage billed at model API cost.
The practical approach is to start most of the team on Pro, watch actual usage for a month, and move the small number of genuinely heavy users to Max rather than provisioning everyone at the higher tier by default. Teams overestimate this less often than they underestimate it: the difference between light and heavy usage inside the same role is usually larger than people expect going in.
Teams standardizing on Teams at $40/user/month should also plan for growth. Adding a new hire mid-cycle is a straightforward incremental cost, but it compounds faster than a flat per-seat SaaS tool would, because a coding assistant tends to see heavier use from newer team members ramping up on an unfamiliar codebase than from established engineers who already know the code they're working in. Budgeting for onboarding headcount at the higher end of expected usage, rather than the team average, avoids an unpleasant overage surprise in the first month a new hire starts.
Where a tool like this fits alongside broader AI spend
A coding assistant is one line item in a much larger AI budget that usually includes a general-purpose assistant, whichever models a team calls directly, and increasingly an MCP layer connecting those tools to the rest of the company's data. Coworker's own enterprise AI pricing comparison covers how those different categories of spend stack up, since coding-specific pricing like Windsurf's is only part of the picture for most engineering-heavy teams.
Where Coworker fits alongside a coding assistant specifically: Windsurf helps you write code faster inside the editor. Coworker MCP gives that same AI tooling unified context across the other systems a real engineering task touches: the Jira ticket describing the bug, the Slack thread where a customer reported it, and the GitHub history of the file being changed. The two solve adjacent problems rather than competing ones, and how to choose MCP servers for your team covers the criteria for evaluating that layer specifically, the same way this page covers Windsurf's.
For teams weighing Windsurf against alternatives entirely, enterprise MCP deployment is worth reading too if the AI tooling in question needs to touch production data or customer systems, since governance requirements don't disappear just because the tool in question is a coding assistant.
Book a demo to see how Coworker MCP connects to your existing coding tools.
Frequently asked questions
Is Windsurf still free?
Yes, Windsurf has a Free plan with a limited daily quota and unlimited tab autocomplete. It's positioned for evaluation and light personal use rather than daily professional work.
How much does Windsurf cost for a team?
Windsurf Teams is $40 per user per month, which includes shared billing and admin controls. A 10-person team costs $400/month before any overage from usage beyond the included quota.
What's the difference between Windsurf Pro and Max?
Pro is $20/month and covers typical daily AI-assisted editing for one developer. Max is $200/month, a 10x jump aimed at users running large agentic workflows who consistently exceed Pro's quota.
Does Windsurf charge for autocomplete?
No. Tab autocomplete is unlimited on every plan, including Free. Usage quotas apply to AI-driven multi-file edits and autonomous agent actions, not basic autocomplete.
Who owns Windsurf now?
Windsurf pricing updates are announced through Cognition's Devin blog, reflecting Cognition's acquisition of the Windsurf product, so pricing decisions now run through Cognition's broader product roadmap rather than a standalone Windsurf team.
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