Codex vs Claude Code vs OpenCode vs Cursor: 2026 Comparison

Codex, Claude Code, OpenCode, and Cursor have converged around agentic coding capabilities such as subagents, MCP support, hooks, skills, worktrees, and parallel execution, but they differ primarily in workflow, model access, pricing, ownership, and safety defaults. Claude Code is positioned for lengthy autonomous tasks and complex refactors through Anthropic models, large context windows, extensive automation features, and subscription-based access, while OpenAI Codex emphasizes operating-system sandboxing, parallel cloud tasks, code review, and integration with ChatGPT plans. OpenCode is an MIT-licensed, model-agnostic alternative that supports more than 75 providers and local models, offering greater control and potentially lower costs but requiring users to choose and configure their own models and permissions. Cursor focuses on an editor-first experience with inline assistance, visual diffs, parallel agents, code review, and broad model availability, although third-party models are billed separately under its newer plans. The comparison advises matching tools to practical needs: Claude Code for deep delegated work, Codex for safety-conscious and cloud-based execution, OpenCode for openness and model flexibility, and Cursor for guided interactive editing, while noting that many developers combine terminal agents with an editor and should test tools using real tasks rather than relying solely on vendor benchmarks.

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