Claude vs Codex as a Worker

Claude vs Codex as a Paperclip Worker: When to Use Which

The adapter you choose for a worker agent determines how it thinks, what it costs, how fast it runs, and what kinds of tasks it handles well. Most operators default to whatever they used for the CEO, which is fine to start with and wrong at scale. This guide covers the practical differences between claudelocal and codexlocal as worker adapters and gives you a decision framework for choosing — and switching — between them.

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What the choice actually affects

Adapter choice is not cosmetic. It determines:

Capabilities — the range of tasks the agent can handle well, particularly on ambiguous or multi-step problems. Cost — input and output token pricing varies significantly between Anthropic and OpenAI models. Latency — how long a single heartbeat takes from trigger to completion. Tool use — which tool calls work reliably. Both adapters support tool use, but their behavior on complex, chained tool sequences differs. Context window — how much of a task's history and codebase the agent can hold in a single run.

The choice is per-agent. Your CEO can run on Claude while every worker runs on Codex, or vice versa. You can also have different workers running different adapters based on what they do.

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Claude Local (claudelocal) as a worker

Claude's strengths as a worker come from its reasoning capability and its tolerance for ambiguous inputs.