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Infrastructure · Sep 25, 2026 · 5 min read

Playwright MCP token usage: 604,785 tokens to see 1 page

Playwright MCP measured in tokens per page and per step against 5 other browser tools, with the cost curve of a session and what cuts it.

DG
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In short

Playwright MCP 0.0.80 spent 604,785 tokens before an agent could act on one Wikipedia page, and 12,494 tokens per follow-up step on Hacker News, because every answer carries the whole accessibility tree. The bill grows with the square of the steps, since each step resends the conversation: 75 steps on Hacker News cost $182.19 at list price. Scalebrowser answered the same 75 steps for $16.03 by sending only what changed. Counts use the cl100k_base tokenizer, measured on 8 September 2026.

An agent that drives a browser through Playwright MCP pays for the page in tokens, and on a large page the payment arrives before the first click. We ran the same action script through six browser tools on four real pages and counted every answer. Seeing one Wikipedia article cost 604,785 tokens with Playwright MCP and 2,771 with Scalebrowser, and over 75 steps on Hacker News the difference in list price was $182.19 against $16.03.

What is Playwright MCP?

Playwright MCP is Microsoft's Model Context Protocol server that lets a language model operate a browser through Playwright. Its README describes the approach in one line: it "uses Playwright's accessibility tree, not pixel-based input", so the model reads a structured snapshot instead of a screenshot. That choice is sound, and the cost question is only about how much of the tree travels with each answer.

How many tokens does it spend per page and per step?

A step, in this measurement, is one action plus everything the agent needs to act next, because a tool whose click is cheap but whose agent cannot click anything afterwards has only moved the cost to a second call. Every driver got exactly the calls it needs to stay able to act: Playwright MCP and Chrome DevTools MCP an explicit snapshot call, Scalebrowser none, because its answer already contains the change. Tokens were counted with OpenAI's tiktoken and the cl100k_base encoding; there is no public Claude tokenizer, so the absolute numbers are an approximation and the ratios between tools hold for any BPE.

Tokens to see the pageWikipediaHacker NewsGitHub
Scalebrowser2,7714,3093,200
browser-use 0.13.108,36918,0977,913
camofox-browser205,93612,1129,116
Chrome DevTools MCP 1.9.0393,14913,33110,346
Playwright MCP 0.0.80604,78524,99012,699
stealth-browser-mcp1,057,18926,47818,002
Source: Scalebrowser token bench, 6 browser tools, 3 of 4 live pages shown, cl100k_base, 8 September 2026

The follow-up step is where the tools separate further. On Hacker News one step cost 462 tokens with Scalebrowser and 12,494 with Playwright MCP, because only one of the six answers with the difference since the last reading and all the others send the page again. Live pages vary by a few percent between runs; the order of magnitude does not.

Why does an offloaded snapshot still cost tokens?

An offloaded snapshot costs the same tokens as an inline one, because the agent has to read the file before it can click anything. Since the 0.0.8x releases, Playwright MCP writes the page state to a file and returns only its path. Measured at the answer, a Wikipedia snapshot then looks like 86 tokens. Measured at the agent's context after it opened the file, it is 301,197. Our bench resolves such references and counts their content, because a measurement that stops at the answer measures the offloading and not the cost.

What does an accessibility tree answer look like instead?

A page map lists only the elements an agent can operate, each with its role, its name and a reference, and after an action it carries only what changed. That is fewer tokens by design, so we checked that it is not fewer by omission. Adding the page's full wording through a separate read call brings Wikipedia to 5,688 tokens, Hacker News to 5,866 and the GitHub page to 5,400, still two orders of magnitude below the full tree. The Hacker News map carries 391 addressable elements, every story link and every comment link among them.

Why does the bill grow faster than the number of steps?

The bill grows with the square of the step count, because the model API is stateless and every step resends the whole conversation as input: the first answer is paid again at step 2, at step 3 and at every step after. We priced the Hacker News run at a list price of $5 per million input tokens, with the tool catalogue included in every request.

StepsScalebrowserPlaywright MCP
25$3.28$21.06
75$16.03$182.19
Window of 1 million tokens full after1,484 steps77 steps
Source: Scalebrowser token bench, Hacker News, list price $5 per million input tokens, catalogue as shipped, 8 September 2026

Chrome DevTools MCP costs $22.50 for 25 steps and fills the window after 72, so it has no 75 step row. The 75 step row is the fair comparison because both sessions in the table still fit into the window there: $16.03 against $182.19 is a factor of 11.4. A 100 step session with Playwright MCP on this page does not exist, because the window fills after 77 steps. Prompt caching, with cached input billed at a tenth, lowers the 25 step session to $0.61 for Scalebrowser and $3.88 for Playwright MCP, so the ratio stays where it was.

The tool catalogue is a fixed fee on every request, including those that call no tool. Playwright MCP's 24 tools cost 3,162 tokens per request; the 21 tools Scalebrowser ships by default cost 5,267. On Playwright MCP that fee is lost next to the page data, which is the real cost.

What should you do if you run Playwright MCP today?

Keep the snapshot out of every answer and ask for it only when the agent needs it. The README lists --snapshot-mode none for that, and the browser_snapshot tool accepts a depth parameter that limits the tree. Put a stable prefix in front of the conversation so prompt caching can work, and count the file contents when you measure, not the path. If the page is large and the session is long, the cost curve above is the reason to look at a tool that answers with the difference; the MCP server page of the documentation describes how Scalebrowser's page map and diff work, and migrating from Playwright shows how existing code attaches to a profile.

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DG

Davide Grasböck

Founder, Scalebrowser

Builds Scalebrowser, the browser layer for AI agents that runs on your own machine. Measures every change a web page could observe against a real browser before it ships, and writes up the ones that turned out wrong.