Skip to content
SPECIFICTION
Get listed

Gemini vs open-computer-use

Gemini

gemini.google.com

open-computer-use

github.com

Side by side

FigureGeminiopen-computer-use
Price fromFreeFree
Free planYesYes
Free trialYes—
Open source——
WebYes—
WindowsYesYes
macOSYesYes
Linux—Yes
iOSYes—
AndroidYes—
APIYesYes
Self-hosted—Yes
Plans published111
Spec score · AI Computer Use Agents9.1 (#1)7.8 (#6)
IntegrationsConnected Apps let Gemini work with selected apps, but availability varies by device, country, account and Gemini surface.The project documents setup commands for Codex CLI and App, Claude Code, Gemini CLI, and opencode, and supports manual configuration for other MCP clients.

Plans

Gemini

  • FreeFree
  • Google AI UltraPrice not published
  • FreeFree
  • Gemini API Free tierFree
  • Google AI Plus$4.99 a month
  • Google AI Pro$19.99 a month
  • Gemini Enterprise Business$21 a month
  • Gemini Enterprise Standard/Plus$30 a month
  • Google AI Ultra (5x)$99.99 a month
  • Google AI Ultra (20x)$199.99 a month

Gemini pricing →

open-computer-use

  • Open sourceFree

open-computer-use pricing →

In their own words

Gemini

Gemini has no write-up on Specifiction yet; its figures are above.

Visit gemini.google.com

open-computer-use

open-computer-use is a free, MIT-licensed local MCP server that lets AI agents inspect and operate desktop applications through accessibility interfaces. Its nine core tools cover app discovery, accessibility-tree and screenshot capture, clicking, scrolling, dragging, typing, key presses, secondary actions, and control-value changes. The project says it runs entirely on the user’s machine and uses the accessibility layer for core app actions without taking over the physical mouse and keyboard. Setup documentation covers Codex CLI and App, Claude Code, Gemini CLI, and opencode, with manual configuration for other MCP clients. A ZCode plugin installs the skill and connects an MCP server. macOS 14 or later requires Accessibility and Screen Recording permissions. Windows and Linux use a signed-in desktop session, and Linux requires AT-SPI2. Additional window-level tools are currently available on Windows, while macOS and Linux support is in progress. Password managers are refused; app launching, focus changes, and global input injection require explicit environment-variable gates. The project warns that high-privilege automation should be used only on authorized machines.

Visit github.com