Amp vs OpenAI Codex
Detailed side-by-side comparison to help you choose the right tool
Amp
AI coding assistant
Amp is Sourcegraph’s frontier coding agent for professional developers who want CLI-first automation, long-running agent workflows, MCP-connected tooling, plugins, and pay-as-you-go individual pricing. It is better suited to serious engineering teams than casual coding help because its value depends on terminal workflows, workspace policy, and agent supervision.
Was this helpful?
Starting Price
CustomOpenAI Codex
🔴DeveloperDeveloper Tools
OpenAI Codex is a coding agent from OpenAI for local CLI work, IDE workflows, cloud tasks, code generation, debugging, and pull-request support.
Was this helpful?
Starting Price
CustomFeature Comparison
Scroll horizontally to compare details.
💡 Our Take
Choose Amp if you value its product layer around agents, including web, CLI, and mobile control, workspace plugins, and its reported 2026 speed improvements for deep and rush modes. Choose OpenAI Codex if your priority is direct OpenAI ecosystem alignment or you want a coding agent tied more closely to OpenAI's own platform.
Amp - Pros & Cons
Pros
- ✓Amp supports CLI-first agent workflows and can be installed on Mac, Linux, WSL, Windows, or through Homebrew, which fits developers who live in terminal-based workflows.
- ✓The June 4, 2026 "Agents, Everywhere" release adds continuity across web, CLI, and mobile so developers can watch and drive agents from more than one surface.
- ✓Performance claims are specific: Amp says deep and rush modes now receive the first token 87% faster, entire responses are 32% faster at p50, and long-horizon tasks can reach up to a 40% end-to-end speedup.
- ✓Plugin extensibility is deeper than simple settings: plugins can hook into events, add tools, standardize policy, and be deployed to a workspace.
- ✓The public pricing message is unusually direct for this category: individuals and non-enterprise workspaces pay pass-through provider API costs with zero markup, no subscription or commitment, and a $5 minimum credit purchase.
- ✓Team controls include passkey-authenticated "sudo" sessions for web and mobile remote control, which is useful when organizations need stronger governance around agent actions.
Cons
- ✗Amp does not publish a simple fixed monthly or annual seat price, so teams must estimate usage from provider API costs and Amp credit consumption rather than a flat subscription.
- ✗Usage-based pricing can be harder to forecast than a flat per-seat subscription, especially for developers running long deep or rush sessions.
- ✗Amp is aimed at professional developers and software teams; nontechnical users will get little value from its CLI, TUI, plugin, and workspace concepts.
- ✗The product messaging emphasizes moving quickly with frontier models, which may be uncomfortable for teams that prefer slow-changing, highly standardized tooling.
- ✗Because Amp is newer and more agent-focused than mainstream editor assistants, teams may need to validate its behavior, permissions, and cost controls before replacing incumbent tools.
OpenAI Codex - Pros & Cons
Pros
- ✓Official README confirms local CLI, IDE, desktop-style, and Codex Web workflow options
- ✓Fits teams already using ChatGPT plans or OpenAI APIs for engineering work
- ✓Strong candidate for testable, issue-sized tasks where CI and human review can catch mistakes
Cons
- ✗OpenAI homepage and pricing page were blocked by JavaScript/cookie challenge, so plan limits and prices require manual verification
- ✗Generated code still needs review, tests, and security checks before merge
- ✗Broad repository permissions or deployment access would be risky without admin controls and audit policy
Not sure which to pick?
🎯 Take our quiz →Price Drop Alerts
Get notified when AI tools lower their prices
Get weekly AI agent tool insights
Comparisons, new tool launches, and expert recommendations delivered to your inbox.