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Is Claude Code or Codex better for large codebase refactors?

Answer from Aug 18

An earlier version of this page. The current answer may differ.

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Checked 10 times since Jul 28 · paused

The answer then

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History

100 50 0 Jul 28: 25/100 Aug 4: 64/100 Aug 11: 90/100 Aug 18: 58/100 Aug 25: 75/100 Sep 1: 84/100 · the answer changed Sep 8: 90/100 Sep 15: 64/100 Sep 22: 64/100 Sep 29: 84/100 Jul 28, 2026 Sep 29, 2026
How strongly the models agree, per check. Filled points mark checks that changed the answer.
  1. Checked: same answer, new wording

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  2. 3 checks, no change
  3. The answer changed

    The primary default recommendation changed: the OLD consensus recommended Codex as the default for large refactors (favoring its test/fix cycles and parallel PR workflows), whereas the NEW consensus recommends Claude Code as the better default for large, interconnected refactors due to interactive exploration and dependency tracing.

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  4. 4 checks, no change
  5. Watch started

    The first answer. Every later check is compared with it.

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How the 3 models compared · 1 contradiction

OpenAI GPT-5.6 Luna · Google Gemini Gemini 3.7 Flash · Grok Grok 4.3

contradiction · critical

OpenAI Codex capability and product status (legacy autocompletion vs modern agentic tool)

Codex is a legacy open-loop completion model retired in 2023 without autonomous tooling or test execution loops

Gemini

Codex is a modern agentic worker running in cloud sandboxes with multi-hour autonomous execution, test loops, and parallel worktrees

OpenAI, Grok

“Codex is particularly strong as an autonomous engineering worker: it can operate in isolated worktrees or cloud environments, run tests repeatedly”

How to verify: Check current OpenAI Codex capabilities, specifically whether Codex refers to the legacy completion API or the modern agentic Codex harness/app