Amp vs OpenAI Codex CLI — Which AI Agent Is Better?
An in-depth comparison of Amp and OpenAI Codex CLI across output quality, autonomy, reliability, speed, value, and ease of use. Vote for your favorite.
An in-depth comparison of Amp and OpenAI Codex CLI across output quality, autonomy, reliability, speed, value, and ease of use. Vote for your favorite.
Pick a winner in each category — you can change your vote anytime.
AmpCodexChoose Amp if you are teams that want maximum-capability agentic coding and will pay for tokens at cost. Choose OpenAI Codex CLI if you are chatGPT subscribers who want a capable terminal agent at no extra cost.
In our editorial scoring, OpenAI Codex CLI leads in 2 of six categories (output quality and value), while Amp leads in 0. On price, Amp runs usage-based credits / free tier and is proprietary; OpenAI Codex CLI runs included with chatgpt plans / api and is open source.
Amp is Sourcegraph's take on agentic coding: no model picker, no knobs — it always runs frontier models with maximum reasoning and leans into autonomy. Work happens in shareable threads across the VS Code extension and CLI, with subagents for parallelizable work and team visibility into how colleagues prompt. It's deliberately opinionated and token-hungry; credits are consumed at cost, so sustained heavy use gets expensive, and there's no BYO-key escape hatch.
Codex CLI is OpenAI's open-source coding agent for the terminal. It edits files, runs commands in a sandbox with configurable approval modes, and can hand longer tasks off to Codex cloud to run in the background. Usage is included with ChatGPT Plus/Pro plans, making it the default choice for developers already in the OpenAI ecosystem.
Both work with any OpenAI-compatible provider. Point the base URL at Standard Compute and get unlimited frontier-model compute from $9/mo flat — no per-token billing, no 429 rate limits.
Whichever AI agent you choose, Standard Compute gives you unlimited LLM compute at one flat monthly price. No rate limits, no per-token billing.
