Is Claude Code better than OpenAI Codex?

It depends on your use case. Claude Code is known for Anthropic coding agent CLI with dynamic workflows and background subagents, while OpenAI Codex OpenAI coding and knowledge-work agent for CLI, IDE, app, web, and cloud workflows. See our full comparison above for a detailed breakdown.

Claude Code pricing: Claude plans and API usage.

Is OpenAI Codex free?

OpenAI Codex pricing: Included with ChatGPT Plus, Pro, Business, Enterprise, and Edu; limited-time Free/Go access; additional credits available.

What are the main differences between Claude Code and OpenAI Codex?

Claude Code and OpenAI Codex differ in features, pricing, and platform support. Claude Code: Anthropic coding agent CLI with dynamic workflows and background subagents. OpenAI Codex: OpenAI coding and knowledge-work agent for CLI, IDE, app, web, and cloud workflows. See the full side-by-side comparison above for details.

Claude CodevsOpenAI Codex

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Claude Code

Coding Assistants

Featured

Anthropic coding agent CLI with dynamic workflows and background subagents

Full review →Website ↗

OpenAI Codex

Coding Assistants

Featured

OpenAI coding and knowledge-work agent for CLI, IDE, app, web, and cloud workflows

Full review →Website ↗

Feature	Claude Code	OpenAI Codex
Category	Coding Assistants	Coding Assistants
Pricing	Claude plans and API usage	Included with ChatGPT Plus, Pro, Business, Enterprise, and Edu; limited-time Free/Go access; additional credits available
GitHub Stars	✓ More stars 128k	85k
Platforms	macOS, Linux, Windows	macOS, Windows, Linux, Web
Key Features	✓ Terminal-native ✓ Multi-file editing ✓ Git integration ✓ Codebase reasoning ✓ Tool use ✓ MCP support ✓ Dynamic workflows ✓ Background agents ✓ Effort control	✓ Terminal coding agent ✓ IDE extension ✓ Web and desktop app ✓ Multi-agent workflows ✓ Cloud environments and worktrees ✓ PR review ✓ Skills for repeatable workflows ✓ Background Automations ✓ Sandboxing and approvals ✓ MCP, tool use, and agent-native logs
Pros	+ Terminal-native workflow + Can execute shell commands + Deep file system and codebase access + MCP support for tool integrations + Dynamic workflows can coordinate background agents on large tasks	+ Official OpenAI coding and knowledge-work agent + Works across CLI, IDE, web, desktop, and cloud surfaces + Open-source CLI under Apache-2.0 + Skills make repeatable team workflows easier to package + Automations support scheduled background work with review queues + Sandboxing, approvals, network policy, and logs support safer team rollout
Cons	− Dynamic workflows are limited to Enterprise, Team, and Max plans − Token and plan limits can constrain large workflow runs − Autonomous code changes still need human review − Requires Anthropic or supported enterprise model access	− Usage limits vary by ChatGPT plan − Free and Go access is limited-time according to OpenAI − Cloud and ChatGPT surfaces are proprietary − Autonomous code and workflow changes still require review − Advanced workspace controls and compliance logs depend on eligible plans
Tags	codingclianthropicclaudeagenticmcpmulti-agentworkflowssubagents	codingagenticcliideopenaichatgptmulti-agentskillsautomationssandboxingknowledge-work

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