Browser Use vs Browserbase: AI Browser Agent Stack Head-to-Head
Two of the most-adopted names in browser-agent tooling solve different halves of the problem. We benchmarked them on capability, price, and production fit to show which one belongs where in a builder's stack.
These products aren't substitutes in the strict sense. Browser Use is an agent framework (the model-to-browser loop) and Browserbase is managed browser infrastructure (hosted Chromium fleet, Stagehand SDK, Search/Fetch/Extract APIs, and Model Gateway). Head-to-head, Browser Use wins on public agent-quality benchmarks, open-source licensing, and per-step pricing transparency. Browserbase wins on production infrastructure, hybrid code-plus-AI ergonomics via Stagehand, and enterprise controls including HIPAA. If you're shipping an agent whose value is the reasoning loop, start with Browser Use (self-hosted or Cloud). If you already have Playwright code and want AI escape hatches with hosted browsers, stealth, and identity, start with Browserbase and Stagehand. Most production stacks in 2026 end up using both.
Browser Use and Browserbase are the two names that come up most often when a developer asks how to give an AI agent a browser. They solve overlapping but distinct problems. Browser Use is the open-source framework that translates an LLM's intent into browser actions. Browserbase is the managed cloud Chromium fleet plus a growing SDK and API surface. Both offer a hosted tier and both are used in production by teams building agents.
This head-to-head scores each product on capability, price, and production fit rather than trying to declare a single winner. Every round names the concrete procedure behind it and cites primary sources: vendor pricing pages, benchmark reports, and public documentation as of August 2026.
| Test category | Winner | Result & method |
|---|---|---|
| Agent task success (WebVoyager) | Browser Use | Browser Use reports 89.1% success across 586 diverse web tasks on WebVoyager using its open-source framework, one of the highest published open-source scores. Browserbase's own product surface competes at the infrastructure layer rather than the agent layer, and Stagehand is typically benchmarked in the low-to-mid 70s on WebVoyager depending on the routed model. On the pure "did the agent finish the task" metric, Browser Use is the higher-scoring stack. How we measured it: Compared each vendor's published WebVoyager score on the 586-task suite, the standard public benchmark for browser agents. Browser Use publishes a self-run score using its open-source harness. Browserbase doesn't publish a first-party WebVoyager number for its own agent primitive, so we scored it on the highest documented result achieved by an agent built on top of its Stagehand SDK. |
| Production browser infrastructure | Browserbase | Browserbase is purpose-built as a hosted Chromium fleet, exposing Playwright/Puppeteer/Selenium compatibility, session observability, identity, stealth, and auto-CAPTCHA on paid tiers, with published concurrency of 25 on Developer, 100 on Startup, and 250+ on Scale. Browser Use Cloud has caught up on stealth and CAPTCHA across 195+ countries, but the deeper infrastructure surface (Fetch, Search, Runtime, Identity, Model Gateway) is Browserbase's home turf. How we measured it: Audited each vendor's documentation for hosted-browser features that matter in production: concurrency ceilings, session length, stealth, CAPTCHA solving, proxies, session recording, and observability. Scored the breadth and maturity of the managed offering, not the agent loop. |
| Pricing transparency and per-step cost | Browser Use | Browser Use publishes a flat per-step price for its own model, roughly $0.07 for a typical 10-step task, plus a bring-your-own-key option and concurrency-based plans from $0 to $999/month. Browserbase's Developer plan lists at $20/month with 100 included browser hours, then $0.12/hr, but the total meter also spans proxy GB, Fetch, Search, Extract, and Model Gateway tokens, and the Agents endpoint's overage rate above the 15-run Developer allotment isn't currently published on the pricing page. On sticker transparency for an agent workload, Browser Use is easier to forecast. How we measured it: Priced a reference workload of 1,000 ten-step agent runs per month against each vendor's public 2026 pricing page. For Browser Use, used the published $0.006/step rate for the Browser Use 2.0 model. For Browserbase, modeled a two-minute browser session per run against the Developer plan's $0.12/browser-hour overage. LLM tokens were held constant across both. |
| Developer ergonomics | Browserbase | Browserbase's Stagehand SDK exposes three primitives (act(), extract(), and observe()) layered on top of Playwright, so a developer writes deterministic code where the flow is known and drops in natural-language calls only where the page is messy. Browser Use is a pure agentic loop: you describe the goal, the framework plans the steps. For prototyping exploratory tasks Browser Use is faster. For a stable workflow with occasional AI branches, Stagehand's hybrid model is more maintainable and cheaper to run because deterministic steps don't pay for a model call. How we measured it: Built the same three-step web task (log in, filter a list, extract five structured fields) in both stacks and scored on install-to-first-run time, language coverage, and how naturally the SDK handles a page whose layout differs from the docs example. |
| Enterprise and compliance | Browserbase | Browserbase's Scale tier documents SSO, HIPAA, and DPA coverage, with 30+ day data retention and 250+ concurrent browsers. Browser Use is MIT-licensed and fully self-hostable, which is decisive for teams that need on-prem or air-gapped deployment, but Browser Use Cloud's published compliance surface is narrower than Browserbase Scale's today. Regulated buyers who want a managed service land on Browserbase. Regulated buyers who require self-hosting land on Browser Use. How we measured it: Compared each vendor's published trust/security posture and enterprise controls: SSO, SOC 2, HIPAA, DPA, data retention, and self-hosted / open-source availability. |
| Ecosystem and integration reach | Browser Use | Browser Use has crossed 95,000 GitHub stars and is used by more than 20 companies from a single YC batch, plus foundation-model launches from Chinese startup Butterfly Effect's Manus tool that drove awareness further. Browserbase integrates cleanly with the same frameworks via Stagehand and has raised a $40M Series B at a $300M valuation on the strength of enterprise pull, but as a de-facto community standard, Browser Use is the wider footprint in open-source agent code today. How we measured it: Counted GitHub stars as a proxy for developer adoption and audited first-party integrations with the major agent frameworks (LangChain, LlamaIndex, CrewAI, Mastra) and orchestration layers. |
Browser Use and Browserbase both sit in a builder’s answer to the same question, how do I let an AI agent drive a real browser, but they aren’t the same shape of product. Browser Use is the leading open-source browser agent framework with 21K+ GitHub stars and an 89% success rate on the WebVoyager benchmark, connecting LLMs to web browsers for autonomous web navigation, form filling, and data extraction, with support for multi-tab workflows and visual understanding.
Browserbase provides cloud browser infrastructure for AI agents, offering headless browser instances with stealth capabilities, session management, and debugging tools that enable AI agents to navigate websites, fill forms, extract data, and complete web-based tasks, and it handles the infrastructure complexity of running browsers at scale for autonomous AI workflows.
Reading the result
The overall spread is one point, and the round-by-round tally is 3-3. That’s the honest picture: neither product dominates because they optimize for different layers of the same stack. Browser Use wins the rounds that ask “how good is the agent” (WebVoyager score, per-step price, ecosystem reach). Browserbase wins the rounds that ask “how good is the runtime” (production infrastructure, hybrid ergonomics via Stagehand, enterprise controls).
The benchmark caveat
The WebVoyager number Browser Use publishes deserves an asterisk. Browser Use reports 89.1% success across 586 diverse web tasks on the WebVoyager benchmark using its open-source harness. But WebVoyager is saturated and almost certainly being benchmaxxed. The top 10 systems all sit above 87%, top 4 above 93%, top 2 within 0.3 points of each other, and once a benchmark runs out of headroom it stops differentiating. Harder benchmarks tell a less flattering story for the whole field. A COLM 2025 paper showed that prior benchmarks hugely overstated capability and frontier agents complete only ~30% of real tasks, ClawBench caps the best frontier model at 33.3%, and WebBench tops at Skyvern’s 64.4%. Treat the Browser Use headline number as a directional signal, not a guarantee that your specific enterprise portal will get 89% done on the first try.
On price
Browser Use publishes a per-step cost that’s easy to forecast for an agent workload. The proprietary Browser Use 2.0 model runs $0.006/step, so a typical 10-step task costs about $0.07 total, and Free is $0 with 3 concurrent sessions, Dev $29/month for 25, Business $299 for 200, Scaleup $999 for 500, with sessions at $0.02/hour, proxies at $5/GB, the V3 agent at $0.90-$6.00 per million input tokens, and Box at $1-$4 a day, with bring-your-own-key on every paid tier.
Browserbase prices the runtime, not the agent. The Developer plan is $20/mo with 25 concurrent browsers, 100 browser hours included then $0.12/hr, 1 GB proxy bandwidth then $12/GB, up to 6 hours per session, Basic Stealth and auto CAPTCHA, 30-day data retention, and 2 projects.
The Startup plan is $99/mo with 100 concurrent browsers, 500 browser hours included then $0.10/hr, 5 GB proxy bandwidth then $10/GB, 10,000 Fetch API calls, and priority support. The complication is that agent runs are the hardest line to forecast with Browserbase pricing. Every plan includes a small allotment of three, 15, or 50 runs, then charges pay-as-you-go overage that Browserbase doesn’t price on its public pricing page.
On what each is really for
Browser Use is the framework you reach for when the agent loop is the product. Its primary value is a high-level API for agentic control that enables agents to perceive the page visually and interact based on reasoning, not just hard-coded selectors, an approach that matters for handling websites with dynamic layouts or frequent updates.
Browserbase is the runtime you reach for when you want managed browsers and a hybrid SDK. Stagehand is what browser agents look like when you want maintainable code instead of pure prompt-driven autonomy: write deterministic Playwright-style steps where the workflow is known, then drop in natural-language act or extract calls where the page is messy, and Browserbase, the same team’s hosted browser runtime, provides production sessions, identity, captcha solving, and proxies. The tradeoff is explicit. The two optimize for opposite things. Browser Use gives an agent a goal and lets it plan the steps, which is faster to prototype and harder to debug.
On the corporate picture
Both companies are venture-backed and shipping fast. Browser Use was founded in 2024 by Magnus Müller and Gregor Zunic, has raised $17.0M in total across one funding round, and is a San Francisco-based software company that develops an open-source Python library and cloud platform enabling AI agents to control web browsers for complex automated tasks. On the infrastructure side, Browserbase closed a Series B of $40M led by Notable Capital at a $300M valuation (~4x the Series A) for total funding of $67.5M, and launched Director, a natural-language automation tool for non-technical users. Neither is a near-term platform-risk pick.
How to buy
If your workload is one large agent loop, your team is comfortable in Python, and you want an open-source core with a per-step price you can forecast, start with Browser Use, self-hosted for control or Cloud for concurrency and stealth. If you already write Playwright and want AI escape hatches, or if you need HIPAA and a managed hosted-Chromium fleet with proxies, identity, and session replay, start with Browserbase and Stagehand. And note the option most teams end up choosing: run the Browser Use agent loop on top of Browserbase’s hosted browsers, letting each product do what it scores highest on.
- https://browser-use.com/posts/sota-technical-report
- https://www.ycombinator.com/companies/browser-use
- https://www.browserbase.com/pricing
- https://docs.browserbase.com/account/billing/plans
- https://techcrunch.com/2025/03/23/browser-use-the-tool-making-it-easier-for-ai-agents-to-navigate-websites-raises-17m/
- https://www.firecrawl.dev/blog/best-browser-agents
Devon Mizrahi measures what a model costs to run and how fast it answers. He maintains the price-per-token tables and the latency rigs, and he is the reason the Tracker reports tokens-per-second next to every quality score.