Claude Code vs Windsurf vs Cursor (2026): Tokens, Refactor Latency, and Worktrees

Use Claude Code for the big refactors. That is our pick for 2026 when the job is a rename or an API change that touches forty files, and the reasons are boring and checkable: it tells you exactly how many tokens a run burned, and it puts each run in its own git worktree from the command line. Cursor stays the better editor for everything smaller. Windsurf is the cheapest seat of the three at $15 a month, and the hardest one to benchmark honestly.

This page covers three things the other comparisons skip, in the order they cost you money. Token accounting comes first. Then refactor latency, which is mostly your test suite. Worktree isolation goes last, because it decides whether you can run two agents at once without one eating the other's branch. For features and plan details, our Claude Code vs Cursor vs Copilot review has the long version, and the Windsurf vs Cursor failure-mode test covers how the two editor agents go wrong.

The three tools at a glance

Category	Claude Code	Cursor	Windsurf
Where it runs	Terminal, plus IDE extensions and a web app	VS Code fork	VS Code fork
Entry price	$20/mo Claude Pro, or pay per token on the API	$20/mo	$15/mo
What you can see per run	Input, output, and cache tokens plus dollar cost	Per-request usage in the web dashboard	Credits
Worktree support	Built into the CLI and into subagents	Parallel agents run in worktrees	Added to Cascade in a late-2025 Wave release
Scriptable from CI	Yes, headless -p mode	Partly, through its background agents	No practical path

Token benchmarks: only one of these gives you a number you can trust

Claude Code is the easy one to measure. Run a task headless with claude -p "rename UserRecord to Account across src/" --output-format json and the result object comes back with input tokens, output tokens, cache reads, and a total cost in dollars. You can loop that ten times in a shell script and diff the numbers. Inside an interactive session, /context shows what is filling the window, which is usually a giant lockfile or a test fixture somebody committed in 2023.

Cursor gets you most of the way. Its usage dashboard lists requests with token counts and cost since the move to usage-based billing, which is enough to compare two runs if you write down the timestamps. It is clumsy for anything over a handful of runs.

Windsurf bills in credits. You can count credits per task, but the mapping from a credit back to tokens happens on Codeium's side of the wall (Cognition's, since the 2025 acquisition), so a "token benchmark" of Windsurf is really a credit benchmark with a guess attached. Anyone publishing exact Windsurf token counts per refactor should tell you how they got them.

The cost math matters more than the raw count, because caching changes everything. On the API, Claude Sonnet 5 lists at $2 per million input tokens and $10 per million output, and cache reads bill at a tenth of the input rate. Take a refactor run that reports 1.2 million input tokens, 80% of them served from cache, and 25,000 output tokens. The arithmetic is $0.48 for the uncached input, about $0.19 for the cached part, and $0.25 for output. Call it 92 cents. The same run with caching broken (a timestamp in your system prompt will do it) costs $2.65, almost three times as much, for identical code.

Which agent "uses fewer tokens" turns out to be a weak question. Most waste comes from re-reading files after a cache miss.

Multi-file refactor latency is mostly your build

Every published latency chart for these tools, ours included, is partly a chart of somebody's test suite. An agent doing a forty-file rename spends a short stretch planning and editing, then sits in a loop running tsc and the tests, reading the failures, and trying again. If your type check takes 50 seconds, the agent that needs one extra pass loses by 50 seconds no matter how fast its model streams.

Cursor adds a second clock. Its agent stops for diff approval more often, and the time it spends waiting for you counts as latency on a stopwatch even though it is the feature you are paying for. Claude Code in its default mode asks permission for shell commands and edits too, but you can pre-approve npm test and git diff in settings and let it run unattended in a worktree. Windsurf's Cascade runs the build loop with the least supervision of the three, which is fast right up until it confidently refactors something you never asked it to touch.

So measure end to end, from prompt to green tests to a diff you would merge, and count the minutes you spent reading. Here is a protocol that holds up:

1. Pick one real refactor from your own backlog that touches at least 20 files. Synthetic tasks flatter every agent.
2. Commit, then start each tool from the same commit in its own worktree.
3. Pre-install dependencies in every worktree before you start the clock, or you are timing npm ci.
4. Stop the clock when the tests pass and you have read the full diff. Log tokens or credits at the same moment.
5. Repeat three times per tool. The second run is usually the fast one, because caches are warm and you have learned the prompt.

The repo that runs this site is a Next.js 16 app whose build fails on purpose if any of its 89 articles links to a page that does not exist, so every agent loop that runs next build pays for that check on every pass. Your numbers will differ. That is the point of running it yourself.

Worktree isolation is where Claude Code pulls ahead

A git worktree is a second checkout of the same repository on its own branch, sharing one .git directory. For agents it is the difference between running two tasks in parallel and running two tasks that overwrite each other's package.json.

Claude Code treats this as a first-class flag. claude --worktree fix-auth creates the worktree, starts the session inside it, and offers to clean up when you exit, and subagents can be configured to get their own isolated checkout as well. Because it is a CLI, you can wrap it: one tmux pane per worktree, each running a different ticket, each producing a branch you review like any other pull request.

Cursor 2.0 shipped parallel agents that run in worktrees, and it handles the annoying part better than you would expect. A .cursor/worktrees.json file lists setup commands, so each new worktree can run npm ci and copy your .env before the agent touches anything. That second step matters. A fresh worktree has no ignored files, which means no .env and no node_modules, and an agent that cannot build will happily spend 40,000 tokens deciding your code is broken.

Windsurf added worktree support to Cascade late last year. It works. It also feels like a feature the editor grew into, and we would want another few months of releases before trusting it with four agents on one repo.

What skipping worktrees costs

Two agents editing one checkout is how you lose an afternoon.

Where each one actually belongs

Claude Code wins the job this page is about: large, mechanical, multi-file changes that you can verify with a test suite and want to run in parallel. It is also the only one of the three you can put in a CI job without fighting it. The price of entry is comfort with reviewing diffs in git rather than in an editor pane, and some developers never get there.

Cursor is still the editor we would install on a new laptop, and the Cursor vs Windsurf comparison explains why it beats Windsurf on a messy codebase. Plenty of people run Claude Code in Cursor's integrated terminal and get both. That setup costs $40 a month and covers almost everything on this page.

Windsurf makes sense for a solo developer on tidy tickets who wants the lowest bill and does not need to prove what a run cost. If you need to explain an AI line item to a finance team, credits are a hard sell.

Our verdict

Claude Code at 9.0 for multi-file refactors and parallel work, Cursor at 8.9 as the daily editor, Windsurf at 8.5. Run the five-step protocol above on one ticket from your own repo before you believe anyone's latency number, including this one.