COMPUTER USE / COMPARE

OpenAI Computer Use vs Gemini Computer Use

Compare execution contracts and required environments first. Public capability scope does not establish that either integration completes your workflow more reliably.

Shared layer; different tradeoffs.

Compare execution contracts and required environments first. Public capability scope does not establish that either integration completes your workflow more reliably.

Choose by the work

CHOOSE OPENAI COMPUTER USE WHEN

Consider OpenAI when you want to connect an existing application-owned executor through its documented integration patterns.

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CHOOSE GEMINI COMPUTER USE WHEN

Consider Gemini when the documented multi-environment path aligns with the target runtime, especially when mobile is part of the scoped pilot.

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Use both when: Use separate runs against a frozen task fixture to compare them. A fallback should start from a verified checkpoint rather than assume the failed provider left the environment unchanged.

The comparison matrix

DIMENSION	OpenAI Computer Use	Gemini Computer Use
Layer	Computer-use model	Computer-use model
Primary fit	Custom browser and desktop agent loops; Teams already using the Responses API	A single model interface across multiple UI environments; Applications that handle safety decisions in their own loop
Browser control	Full	Full
Desktop control	Full	Full
Mobile control	Unknown	Full
Self-hosted	Unknown	Unknown
Human approval	Unknown	Partial
API	Full	Full
MCP	Unknown	Unknown
Screenshots	Full	Full
Mouse & keyboard	Full	Full
DOM / accessibility	Unknown	Unknown
Code execution	Full	Unknown
SDK	Full	Full
Cloud	Full	Full
Pricing	$10 / 1M input tokens · gpt-6-astra	Price needs verification
Last verified	Sep 27, 2026	Sep 27, 2026
Claim-level sources	EVIDENCE RECORD Follow the source. Source verification confirms what the publisher states. It is not our independent performance test. official docs Current docs describe browser and desktop control, code execution, and structured computer actions; GPT-6 Astra code execution is recommended. Verified Sep 27, 2026 · verified developers.openai.com Status records public product/documentation availability or an explicit preview/open-source designation as observed on the retrieval date. It does not attest service uptime, account access, SLA, or an independently tested production readiness claim. official pricing GPT-6 Astra Standard short-context rates are $10 input and $50 output per million tokens; other processing modes and long context differ. Verified Sep 27, 2026 · verified developers.openai.com official repo OpenAI publishes a sample application for integrating its computer-use API with execution environments. Verified Sep 27, 2026 · verified github.com official docs Control surfaces: Browser and desktop interfaces Verified Sep 27, 2026 · verified developers.openai.com official docs Perception: Screenshots and tool results guide the next action Verified Sep 27, 2026 · verified developers.openai.com official docs Action interface: Structured mouse and keyboard actions Verified Sep 27, 2026 · verified developers.openai.com official docs Code path: Code execution can use Playwright or PyAutoGUI Verified Sep 27, 2026 · verified developers.openai.com official docs Execution ownership: The developer supplies and controls action execution Verified Sep 27, 2026 · verified developers.openai.com official repo Integration reference: Official sample application is publicly available Verified Sep 27, 2026 · verified github.com	EVIDENCE RECORD Follow the source. Source verification confirms what the publisher states. It is not our independent performance test. official docs Current guide covers browser, desktop and mobile environments, client execution, safety decisions, and Gemini 3.8 Flash as the recommended model. Verified Sep 27, 2026 · verified ai.google.dev Status records public product/documentation availability or an explicit preview/open-source designation as observed on the retrieval date. It does not attest service uptime, account access, SLA, or an independently tested production readiness claim. official pricing Gemini pricing is model-, processing-, and context-dependent. This snapshot deliberately omits numeric Gemini rates until the exact variant is normalized. Verified Sep 27, 2026 · verified ai.google.dev official repo Google publishes a reference computer-use agent implementation; examples require client-side browser execution. Verified Sep 27, 2026 · verified github.com official docs Environment coverage: Browser, mobile and desktop control agents Verified Sep 27, 2026 · verified ai.google.dev official docs Visual input: Screenshots provide the model's current UI state Verified Sep 27, 2026 · verified ai.google.dev official docs UI action output: Function calls describe clicks, scrolling and keystrokes Verified Sep 27, 2026 · verified ai.google.dev official docs Safety response: Actions may require confirmation or be blocked Verified Sep 27, 2026 · verified ai.google.dev official docs Execution ownership: Client code executes approved actions and returns screenshots Verified Sep 27, 2026 · verified ai.google.dev official repo Reference implementation: Public example includes browser execution code Verified Sep 27, 2026 · verified github.com

Unknown is not false. Price snapshots expire after 14 days.

Meaningful differences

OpenAI shows application-controlled runtime execution, including code-based control; Gemini documents environment-specific computer-use actions.
Gemini explicitly describes browser, desktop, and mobile environments. Confirm the exact environment and supported model when mobile is a requirement.
Gemini documents configurable safety categories and confirmation responses; an OpenAI integration has its own documented confirmation and execution controls.
A common screen size does not make action schemas interchangeable. Normalize coordinates, observations, errors, and stopping conditions in the evaluation harness.

Fit by workflow

Mixed browser and native work

Verify every surface in the same workflow; browser success alone does not establish desktop completion.

Approval-gated form

Test whether the application stops before the actual transmission boundary, including autosave.

Benchmark evidence

Scores only support a head-to-head conclusion when benchmark release, task set, harness and source type are compatible. This guide does not manufacture an overall winner.

Inspect the Benchmark Atlas

Understand what scores can tell you

RESEARCH NOTES

Sources & verification

Reviewed Sep 27, 2026. Architecture recommendations are editorial analysis; linked vendor documentation supports the underlying capability and safety facts.

How we verify evidence →