Both provide model-side computer-use capabilities. The decision is which provider integration and action surface fit your runtime; neither comparison entry includes the surrounding production system.
Shared layer; different tradeoffs.
Both provide model-side computer-use capabilities. The decision is which provider integration and action surface fit your runtime; neither comparison entry includes the surrounding production system.
Choose by the work
CHOOSE OPENAI COMPUTER USE WHEN
Consider OpenAI when its documented runtime integration fits the action executor and tooling your application already owns.
Use both when: A provider adapter can support a controlled evaluation of both. Avoid silently switching providers midway through a consequential task without reconciling state and policy.
The comparison matrix
DIMENSION
OpenAI Computer Use
Claude Computer Use
Layer
Computer-use model
Computer-use model
Primary fit
Custom browser and desktop agent loops; Teams already using the Responses API
Desktop workflows in a controlled sandbox; Developers implementing explicit action approval
Browser control
Full
Full
Desktop control
Full
Full
Mobile control
Unknown
Unknown
Self-hosted
Unknown
Unknown
Human approval
Unknown
Unknown
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
$2 / 1M input tokens · Claude Sonnet 5
Last verified
Sep 27, 2026
Sep 27, 2026
Claim-level sources
Unknown is not false. Price snapshots expire after 14 days.
Meaningful differences
OpenAI documents code-execution-style runtime integration as well as structured computer actions; select the path that matches your executor.
Claude documents a desktop computer toolset and a separate browser-use path. A webpage-only evaluation should specify which one is being tested.
The providers use different tool and response contracts, so budget for an adapter and test cancellation, error reporting, and observation handling independently.
Compare the actual model/tool combination under a shared task budget. Provider-level labels do not identify a single stable benchmark candidate.
Fit by workflow
Native application task
Use the same desktop image and outcome validator for both providers; do not substitute a browser-only demo.
Portal report export
Evaluate the chosen browser path with the same account, export settings, and file validation.
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.