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AI Choice Engine

Agentic harness comparison

Claude Code vs OpenAI Codex

Both are terminal agents with desktop/IDE siblings. Claude Code bills through Claude plans or the API; Codex bills through ChatGPT plan credits or an API key. First-week choice is the account you already pay for, sandbox habits, and which model family the team trusts.

Details last verified October 2, 2026

Anthropic

Claude Code

Terminal, IDE plugins, desktop, and browser · Agentic

vs

OpenAI

OpenAI Codex

Desktop, CLI, IDE and cloud · Agentic

AI harness specification comparison
SpecificationClaude CodeOpenAI Codex
VendorAnthropicOpenAI
Runs inTerminal, IDE plugins, desktop, and browserDesktop, CLI, IDE and cloud
Editor supportTerminal CLI, VS Code / Cursor, JetBrains, Desktop app, claude.ai/codeTerminal beside any editor, VS Code / Cursor / Windsurf, JetBrains, Xcode, Codex desktop, Cloud
AutonomyAgenticAgentic
Pricing modelHybridHybrid
Requires changing editorNoNo

Dates refer to the linked source’s publication or capture unless it explicitly states when the benchmark was measured. Values we could not confirm are shown as “Not verified” rather than estimated.

AgenticHybrid

Claude Code

Anthropic's agentic coding tool runs in the terminal, supported IDEs, a desktop app and the browser. Configuration and permissions vary by surface and organisation. Subscription sign-in shares eligible Claude plan usage; Anthropic Console/API and third-party provider billing are separate paths.

Best for

  • Multi-file refactors
  • Migrations
  • Delegated engineering tasks

Watch out

Claude Code is included with Pro, Max, Team and Enterprise; Free does not include it. Web prices: Pro $20/month or $200 billed yearly; Max 5x $100/month and Max 20x $200/month; Team Standard $25/seat/month or $20 with annual billing, Premium $125 or $100 respectively; Enterprise $20/seat/month with annual billing plus API-rate usage (https://claude.com/pricing). API credentials can bill separately from subscription usage. Model selection depends on account, user/org settings, provider and client version: default clears an override, while Anthropic API opus and sonnet resolve to Opus 5.5 and Sonnet 5.5. Sonnet 5.5 requires v2.1.284+, Opus 5.5 v2.1.280+. Third-party provider aliases can resolve to older versions. Fable normally resolves to Fable 5.1, except Claude apps gateway sessions use Fable 5; neither is an account-type default. On Pro, Fable uses usage credits; on Max it can use up to 50% of the regular weekly allowance before additional Fable work requires usage credits. Interactive credit consent is not a guarantee for automation: non-interactive -p requests can bill credits without asking. Five-hour and weekly limits depend on plan/model; check the account usage page (https://code.claude.com/docs/en/model-config; https://support.claude.com/en/articles/11049741-what-is-the-max-plan). Native Windows supports shell tools, but Claude's sandbox is available on macOS, Linux and WSL2, not native Windows or WSL1. It is off by default and covers shell execution, not every file tool, MCP server or hook (https://code.claude.com/docs/en/sandboxing).

AgenticHybrid

OpenAI Codex

OpenAI's coding agent is available in desktop, terminal, supported IDE and cloud surfaces. ChatGPT sign-in uses plan credits and workspace policy; API-key sign-in uses separate Platform billing and organisation policy.

Best for

  • Delegated coding tasks
  • Existing OpenAI commitments

Watch out

ChatGPT sign-in uses Codex plan credits, whose rates differ from API prices. Do not estimate subscription task allowances from Platform token tariffs. Standard GPT-6.1 Sol rates are 50 input / 2.5 cached input / 250 output credits per million tokens; no separate cache-write charge. Plus is $20/month; Pro tiers are $100/$200/$500; Business Standard is $20/user/month with annual billing (two-user minimum), $25 monthly; Enterprise is negotiated. Pro has no five-hour limit, while Plus/Standard Business local-message estimates are not fixed caps; weekly limits and shared Work/Codex usage still apply. Fast mode bills at 2.5x included subscription credits or 2x purchased/pay-as-you-go credits; Astra Ultrafast is 8x or 6x respectively and requires eligible access such as Pro 500. These are billing multipliers, not speed guarantees (https://learn.chatgpt.com/docs/pricing; https://learn.chatgpt.com/codex/agent-configuration/speed). GPT-6.1 Sol access is rolling out on Plus/Pro/Business/Enterprise/Edu; Enterprise/Edu admins must enable it. Free/Go desktop Luna access is rollout-dependent. Model availability varies by account, surface and client version (https://learn.chatgpt.com/docs/models). API-key sign-in supports local desktop/CLI/IDE work and uses Platform billing; cloud features such as GitHub review and Slack require ChatGPT sign-in (https://learn.chatgpt.com/docs/auth). GPT-5.4/mini retired from ChatGPT-authenticated Codex on August 31; GPT-5.5 retirement is scheduled for October 14, 2026, with API availability unaffected. Pick a currently supported Sol/Luna replacement. Linux/WSL2 uses bubblewrap with a user-namespace-dependent bundled fallback; native Windows has its own sandbox and WSL1 is unsupported from CLI v0.115.0 (https://learn.chatgpt.com/docs/sandboxing).

Common questions

Claude Code vs OpenAI Codex

Answered from the verified figures on this page rather than general guidance.

Do I have to change editor to use Claude Code or OpenAI Codex?
Neither does. Claude Code runs in Terminal CLI, VS Code / Cursor, JetBrains, Desktop app, claude.ai/code and OpenAI Codex runs in the desktop, cli, ide and cloud alongside any editor, so people keep the setup they already have.
How are Claude Code and OpenAI Codex priced?
Both are hybrid. The headline seat or plan price is not the heavy-agent bill — included credits, shared pools, and overages dominate once you loop agents hard. Estimate cost per successful task and set spend caps.
Is Claude Code or OpenAI Codex better for large refactors?
Both carry our agentic classification. That label does not establish equal refactoring quality; compare correctness, tool reliability, review time and cost on representative tasks.
Will my project rules transfer between Claude Code and OpenAI Codex?
Usually not automatically. Cursor rules, CLAUDE.md, AGENTS.md, and extension-specific configs are different conventions. Keep one source of truth in the repository (commonly AGENTS.md) and copy or link into each tool’s native format so switching does not wipe months of project teaching.
Does Claude Code require a Max plan?
No. Claude Pro includes Claude Code with a shared usage pool alongside Claude chat. Max raises limits; Free Claude.ai chat does not include Claude Code. An ANTHROPIC_API_KEY can bill Console/API instead of the subscription pool.
Is Codex still billed per seat or per message?
No. ChatGPT plans include Codex with plan limits/credits, and API-key login bills Platform tokens separately. A single agentic task can burn many credits — do not budget as if each message were one flat charge.
Do coding agents replace code review?
No. Agents can draft patches faster, but they do not remove the need for human review of plans, tool calls, permissions, diffs, tests, and rollback paths. Treat autonomy as a reason for stronger review, not less — see the coding assistant rollout guide at /ai-harnesses/guides/coding-assistant-rollout-guide.
Should we harden MCP before rolling out a coding agent?
Yes for any agent that can install MCP servers or run tools. Maintain a short allowlist, review each server’s folder and network access before install, fail closed on unknown tools, and log tool calls. .cursorignore and similar rules do not block MCP or shell access once a command is approved.

Next step

Which one fits

Autonomy and editor constraints decide this far more reliably than a benchmark score.

If most of your week is small, frequent edits, an assistive workflow beats delegation and an agentic harness sits idle while billing. If you regularly hand over work spanning many files, the reverse is true.

Where one tool requires changing editor and the other does not, that difference usually outweighs any capability gap across a team — rollouts fail on adoption, not capability.

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