OpenAI Codex CLI vs Continue

Detailed side-by-side comparison to help you choose the right tool

OpenAI Codex CLI

🔴Developer

AI Coding Assistant

OpenAI's open-source terminal coding agent, powered by GPT-5 and the codex-* model family with full MCP support.

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Continue

🔴Developer

AI Coding Assistant

Open-source AI code assistant for VS Code and JetBrains — bring your own models, curate a shared block library, ship as an internal platform.

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Feature Comparison

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FeatureOpenAI Codex CLIContinue
CategoryAI Coding AssistantAI Coding Assistant
Pricing Plans6 tiers36 tiers
Starting Price
Key Features
    • • Multi-model AI support including OpenAI, Claude, Gemini, and local models
    • • Native IDE extensions for VS Code and JetBrains with smooth workflow integration
    • • MCP server connectivity for development toolchain integration

    OpenAI Codex CLI - Pros & Cons

    Pros

    • ✓Genuinely Apache-2.0 open-source — audit, vendor, and self-host freely
    • ✓Sandboxed full-auto mode on macOS and Linux for safe overnight runs
    • ✓First-class MCP client with both stdio and HTTP transport support
    • ✓Codex allowance bundled with existing ChatGPT Plus/Pro subscriptions
    • ✓Single Rust binary — no Node runtime, no dependency hell

    Cons

    • ✗Locked to the OpenAI/OpenAI-compatible model family — no native Claude or Gemini
    • ✗Terminal-only; no IDE UI for inline diffs or hover context
    • ✗Full-auto sandbox is unavailable on Windows without WSL
    • ✗Documentation still lags behind the pace of releases

    Continue - Pros & Cons

    Pros

    • ✓Truly BYOK across 15+ providers — nothing is hard-wired to a single vendor
    • ✓Apache 2.0 core makes procurement trivial for regulated enterprises
    • ✓Continue Hub lets platform teams ship a standard assistant to every developer
    • ✓First-class MCP client so team MCP servers become instantly reusable
    • ✓Works in both VS Code and JetBrains — one config across polyglot teams

    Cons

    • ✗You are responsible for choosing and paying providers — no all-in-one price
    • ✗Autocomplete quality depends heavily on which model you route to
    • ✗Agent mode is competent but less aggressive than Cursor Composer or Cascade
    • ✗Hub adoption still evolving; block ecosystem smaller than closed marketplaces
    • ✗Teams tier pricing is not published — expect a sales conversation for real orgs

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