Compare other tools Tool Cursor OpenAI Codex Price From $20/month Usage-based pricing Free plan Free plan Free trial Best for Developers who want an AI-first editor without leaving the VS Code ecosystem Building features from a plain-English description Exploring and understanding an unfamiliar codebase quickly Running coding tasks in parallel without tying up a local machine Teams that want a human-review step before any change is merged Delegating tasks by writing natural-language instructions Ease of use Takes some experience Takes some experience Key features Tab completion with multi-line prediction Composer: multi-file agentic change mode Codebase-aware chat panel Bring-your-own model support VS Code extension compatibility Sandboxed cloud execution of coding tasks Parallel task execution across multiple branches Pull request and diff output for review Natural-language task submission API access for custom integrations Integrations GitHub, VS Code Extensions, Linear, Jira GitHub, ChatGPT API Not on record Available Skill level Intermediate, Advanced Intermediate, Advanced Platforms macOS, Windows, Linux Web, API Main advantages Multi-file changes from a single instruction Familiar VS Code interface for existing users Supports switching between multiple underlying models Runs tasks in the cloud so local resources are not consumed Multiple tasks can run in parallel Changes come back as reviewable diffs or pull requests Main disadvantages Requires code to leave the local machine for cloud models Paid plan needed for heavy usage beyond free limits No inline editor integration for real-time suggestions Cloud execution means code is sent to OpenAI servers Data checked Checked October 4, 2026 Checked October 4, 2026 Try Cursor Try OpenAI Codex
Which one to choose Choose Cursor if Developers who want an AI-first editor without leaving the VS Code ecosystem Building features from a plain-English description Exploring and understanding an unfamiliar codebase quickly Read review
Choose OpenAI Codex if Running coding tasks in parallel without tying up a local machine Teams that want a human-review step before any change is merged Delegating tasks by writing natural-language instructions Read review
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