Anchor vs Browser Use
Getting an LLM to drive a real browser. One of these is the agent and the other is the infrastructure it runs on, which is worth knowing before you compare their prices.
All 2 checked against the vendor's own pricing page · checked Sep 2026
Which should you pick?
Browser Use is the library: MIT-licensed Python, one of the most starred projects in this space at over 110k, with a hosted platform on top if you would rather not run it (free, then $29 Dev up to $999 Scaleup). Anchor is not competing to write your agent. It is managed browser infrastructure, giving you per-session isolation, proxy handling and authentication, from free through $50 Starter to $2000 Growth. The honest framing is that these stack: Browser Use as the agent, Anchor as the place it runs, particularly once you need real proxies and logged-in sessions. If you are choosing only one to start with, start with Browser Use, because you cannot evaluate infrastructure before you have something to run on it.
| Visit Anchor | Visit Browser Use | |
|---|---|---|
| What it costs | ||
| Pricing | Freemium | Paid |
| Pricing details | Usage-based infrastructure pricing: browser duration $0.09/hour, proxy $8.00/GB, AI steps $0.01 each, session initialisation $0.01 on Growth - cost calculator on site | Free tier at 0 USD covers 10 agent tasks a month and 3 concurrent sessions with no card. Paid plans are Dev 29 USD/month, Business 299 USD/month and Scaleup 999 USD/month, each granting that amount as monthly credits. Usage is metered on top: browser sessions at 0.02 USD/hour, managed proxy at 5 USD/GB, and agent tokens at 1.2x provider rates, or bring your own model key for a 0.2x orchestration fee. The library itself is MIT and free to self-host. |
| Price range | $0 - $2000/moChecked 2026-09-19 | Usage based, no flat monthly planChecked 2026-09-19 |
| Free option | Free tier | Free trial only |
| Plans |
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| What it is | ||
| What it does | Managed browser infrastructure for computer-use agents, with per-session isolation, proxy handling and OmniConnect authentication, billed by the unit consumed. | An MIT-licensed Python library that lets an LLM drive a real browser, plus a hosted platform that runs the same agent on managed cloud browser sessions. |
| The details | ||
| Tags | autonomous-agentagent-frameworkbrowserinfrastructurecomputer-use | autonomous-agentagent-frameworkbrowsercomputer-use |
What it costs
- Pricing
- Freemium
- Pricing details
- Usage-based infrastructure pricing: browser duration $0.09/hour, proxy $8.00/GB, AI steps $0.01 each, session initialisation $0.01 on Growth - cost calculator on site
- Price range
- $0 - $2000/moChecked 2026-09-19
- Free option
- Free tier
- Plans
- Free$0/mo
- Starter$50/mo
- Team$500/mo
- Growth$2000/mo
- EnterpriseContact sales
What it is
- What it does
- Managed browser infrastructure for computer-use agents, with per-session isolation, proxy handling and OmniConnect authentication, billed by the unit consumed.
The details
- Tags
- autonomous-agentagent-frameworkbrowserinfrastructurecomputer-use
What it costs
- Pricing
- Paid
- Pricing details
- Free tier at 0 USD covers 10 agent tasks a month and 3 concurrent sessions with no card. Paid plans are Dev 29 USD/month, Business 299 USD/month and Scaleup 999 USD/month, each granting that amount as monthly credits. Usage is metered on top: browser sessions at 0.02 USD/hour, managed proxy at 5 USD/GB, and agent tokens at 1.2x provider rates, or bring your own model key for a 0.2x orchestration fee. The library itself is MIT and free to self-host.
- Price range
- Usage based, no flat monthly planChecked 2026-09-19
- Free option
- Free trial only
- Plans
- Pay as you goNot listed
- EnterpriseContact sales
What it is
- What it does
- An MIT-licensed Python library that lets an LLM drive a real browser, plus a hosted platform that runs the same agent on managed cloud browser sessions.
The details
- Tags
- autonomous-agentagent-frameworkbrowsercomputer-use
Read the full reviews
What each one is actually like to use, tested by hand rather than summarised from the vendor’s own page.
