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Claude Code vs Codex CLI

OpenAI's terminal-native coding agent

Last reviewed 2026-05

Codex CLI was OpenAI's answer to the agentic coding wave Claude Code helped define. The tools are structurally similar — both run in your terminal, both edit files via tool use, both ship as the first-party agent for their respective frontier model. The choice almost always comes down to which model family you trust more for your work.

At a glance

FeatureClaude CodeCodex CLI
SurfaceTerminal CLITerminal CLI
VendorAnthropicOpenAI
Default modelClaude Sonnet 4.6 / Opus 4.7GPT-5 Codex / o-series
LicenseClosedApache 2.0 (Codex CLI itself, models proprietary)
PricingAPI costs or Pro/Max planAPI costs or ChatGPT Plus/Pro/Team
Skill ecosystemYesLimited (AGENTS.md conventions)
MCPYesYes
Best forClaude-model-heavy workflowsGPT/o-series workflows, OpenAI-stack devs

When to pick Claude Code

When to pick Codex CLI

Which is right for you?

Pick the agent that ships with the model you trust more for your code. If you switch frequently between Claude and GPT, run both — they don't conflict, and you'll get a real sense of which serves your workflow.

FAQ

Is Codex CLI a clone of Claude Code?

No, but the design space converged. Both are terminal-first, agentic, and built around model tool use. The implementations and ecosystems are independent.

Can Codex CLI use Claude models?

Not officially. Codex CLI is OpenAI's product and routes to OpenAI models. There are community forks that route to other providers.

Which is faster?

Depends on the specific task and model. GPT-5 Codex is fast for short tasks. Claude Sonnet 4.6 is fast for everything moderate; Opus is slower but more careful. Track your own session times on vibecodestats.dev to measure for your workflow.

Do they share MCP server compatibility?

Both support MCP. Most MCP servers work with both, though some lean Anthropic-first (e.g. Anthropic-built MCP servers) or OpenAI-first.

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