Give an agent a natural-language task and it drives a real browser to completion — open source library, or managed cloud browsers.
AI Infrastructure comparison
Pricing, pros, cons, and ideal use cases — side by side.
Give an agent a natural-language task and it drives a real browser to completion — open source library, or managed cloud browsers.
Google Cloud's unified AI platform — access to Gemini and partner models, plus tools to build, deploy, and govern AI and agents.
| Browser Use | Gemini Enterprise Agent Platform (formerly Vertex AI) | |
|---|---|---|
| Pricing | FreemiumThe Python library is open source and free to self-host. Cloud Browser Infrastructure is $0.02 per browser-hour, metered by the minute. Cloud Agents bill browser time from $0.02/hour plus model tokens at published per-million rates (their default model lists at $0.24 per million input tokens and $1.44 per million output). Usage-based throughout — no seat fee. | PaidUsage-based pricing across model and platform services, billed through Google Cloud. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Teams automating vendor and supplier portals that have no APIResearch and lead-enrichment pipelines that need real page interactionQA and internal-tooling engineers replacing brittle Selenium scriptsOperators automating legacy systems with no integration path | Enterprises already on Google CloudTeams wanting Gemini under enterprise governanceOrganizations consolidating the AI lifecycle on one platform |
Browser Use is the lighter-weight option (Freemium), while Gemini Enterprise Agent Platform (formerly Vertex AI) sits higher on the pricing ladder (Paid). Browser Use is built around teams automating vendor and supplier portals that have no api; Gemini Enterprise Agent Platform (formerly Vertex AI) leans more toward enterprises already on google cloud. Shortlist the one whose strengths line up with your biggest constraint.
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