Browserbase pricing begins with bundled browser hours, and expands into concurrent sessions, agent runs, proxies and usage overages. Comparing the advertised $20 and $99 plans alone will not tell you whether a team can finish hundreds of browser jobs reliably each month. The schedule and the measured cost per correct output matter.
What the plans include
As of October 25, 2026, Browserbase publishes a Free plan, a $20/month Developer tier, a $99/month Startup tier and a custom Scale option. Free includes one browser hour and three concurrent browsers. Developer lists 100 browser hours and 25 concurrent sessions. Startup lists 500 hours and 100 concurrent browsers.
The company's public plan table also specifies agent runs, API calls, proxies, model access, retention and overages. Those limits can affect cost even when a customer's browser-hour estimate fits inside the monthly allowance.
A team can fit within a plan's monthly browser-hour allowance and still miss its deadlines if too many sessions must run concurrently. Consider a morning batch of invoice exports that all start at nine: queueing behavior matters more than average monthly utilization. Our Stagehand versus Playwright MCP comparison also clarifies why browser infrastructure costs must be separated from the automation code and inference needed to produce results.
Calculate a workload, then examine its peak
Imagine 600 monthly jobs that each require eight browser minutes. That works out to about 80 browser hours before failed attempts, additional sessions and retries. On paper it may fit the Developer hour pool, but not necessarily the included agent runs or proxy allowance.
If 40 jobs must start at precisely nine o'clock, the Developer plan's published 25-browser concurrency may require a queue. Customers who depend on completion time should measure the queue delay as carefully as the total hours used.
Where extra expenses appear
Browserbase primarily supplies hosted browser infrastructure. Teams still need task logic through Playwright, Stagehand or their own agent. Model inference, proxy traffic, retries and longer-running sessions can add usage. A browser that is open but stuck on authentication still consumes resources.
Noxgild's isolated cloud browser option addresses browser execution for supported workflows, but a quote should compare complete tasks, session behavior and real usage—not raw hours from unrelated pricing models. If a process depends on a saved login or file on a specific authorized computer, device-based browser access has different constraints. The correct environment is a functional requirement, not an afterthought added to the price table.
Keep a ledger for browser start/end time, proxy bytes, model charges, job result and retries. Count a job as complete only when the expected file or transaction identifier is verified.
Choose a tier based on evidence
Free is sensible for an initial sample, Developer for moderate usage and Startup for greater concurrency and included hours. Enterprise buyers should confirm compliance, access policies, support and retention. All prices here are the publicly listed October 2026 values and can change.
The NIST AI Risk Management Framework gives a useful starting point for including failure handling and oversight in the evaluation.
Run a controlled workload with both a normal hour and a short burst. Capture active sessions, successful exports, retry cost, account identity and time to the final correct artifact. Add authorized computer control to the evaluation only when the workflow actually needs installed software or local files. A cheaper browser session does not help when it cannot access the real application where the work must finish.
Device dependencies are a separate line item
What to test before buying
Run 25 non-sensitive jobs over a normal day, then repeat several in a short burst. Check billed hours, concurrency behavior and actual outputs. Use those measurements to choose the plan with sufficient headroom instead of assuming a cheaper headline will cover production.