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OpenAI puts Codex inside the ChatGPT mobile app on iOS and Android

Phone users can now dispatch tasks to Codex running on their desktop, with files and credentials staying on the local machine.

Jaeden Schafer
Editor in Chief · · 4 min read
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OpenAI put Codex inside the ChatGPT mobile app on May 14, 2026, letting users on iOS and Android dispatch coding and computer-use tasks to a Codex instance running on their desktop. The preview is live across every ChatGPT tier, including the free plan and the cheaper Go plan, which is an unusually wide initial rollout for a flagship feature.

From the phone, users can move across active Codex threads, review outputs, approve commands, switch the underlying model, or start a new task. The handset acts as a remote control; the actual work stays on the desktop where the developer's environment lives.

OpenAI is explicit about the split. "Your files, credentials, permissions, and local setup stay on the machine where Codex is operating, while updates flow back to your phone in real time, including screenshots, terminal output, diffs, test results, and approvals," the company said in its blog post.

Key facts

  • 01OpenAI rolled out Codex inside the ChatGPT mobile app on May 14, 2026, available on both iOS and Android.
  • 02The preview is open to all ChatGPT plans, including the free tier and the lower-cost Go plan.
  • 03Files, credentials, and local setup remain on the desktop machine; the phone receives screenshots, terminal output, diffs, and approval prompts.
  • 04The launch follows a recent Codex update that lets it operate apps on macOS, part of OpenAI's desktop 'superapp' ambitions.
  • 05OpenAI has been cutting side projects, including shutting down the Sora video-generation tool, to focus on Codex and enterprise.

That architecture matters for the audience Codex is chasing. Developers who would never paste production credentials into a cloud-hosted agent can keep secrets on a workstation while still triggering long-running jobs from a coffee shop or a commute. The phone becomes the approval surface, not the execution surface.

“Your files, credentials, permissions, and local setup stay on the machine where Codex is operating, while updates flow back to your phone in real time, including screenshots, terminal output, diffs, test results, and approvals.”
— Jaeden Schafer

The release lands in the middle of a fast-moving race with Claude Code, Anthropic's coding agent that has built a strong following among professional engineers over the past year. Claude Code's growth has visibly shaped OpenAI's roadmap, with the ChatGPT maker accelerating Codex updates and shedding work elsewhere.

Some of that pruning has been blunt. OpenAI recently shut down the Sora video-generation tool and trimmed other side projects to keep engineering attention on Codex and on its enterprise business, which is now the company's clearest revenue engine. The desktop 'superapp' framing — Codex as the layer that operates other applications on behalf of the user — is the strategic destination.

A precursor to the mobile launch was the recent Codex update that allows it to operate apps on macOS. Once Codex can drive a Mac, exposing that control plane to a phone is the natural next step. The combination starts to look less like an IDE plugin and more like a remote workstation agent.

There are real limits to what a mobile preview can prove. Approving a diff from a phone screen is workable for short patches and harder for sprawling changes; reviewing terminal output on a 6-inch display has obvious ergonomic ceilings. OpenAI has not detailed how Codex handles offline desktops, sleeping laptops, or network drops mid-task, and those edge cases are where remote-agent products typically bruise their first users.

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Claude Code remains the benchmark OpenAI is measuring against on quality of code output, and nothing about a mobile shell changes that contest. The win Codex is reaching for here is workflow ownership: be the thing developers reach for on the phone when an agent run is still going on the desktop. If OpenAI can lock in that habit while the underlying model keeps improving, mobile becomes a moat that pure-API competitors will find awkward to match.

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