Amp vs OpenAI Codex (2026)

Amp

by Sourcegraph

OpenAI Codex

by OpenAI

Pros

• ✓Frontier-first design with unfettered token and tool access: Amp optimizes for output quality rather than minimizing cost, running multi-step threads, subagents, and remote agents that users frequently rate above Claude Code, OpenAI Codex, and Cursor.
• ✓Transparent pay-as-you-go pricing with zero markup: individuals and non-enterprise workspaces pay only pass-through LLM and tool costs from a $5 minimum, with an Amp Free tier and no subscription or commitment.
• ✓Meets developers in place across CLI, VS Code, Cursor, and Windsurf with MCP client support and a plugin system: no new UI to learn, and agents extend through local or remote MCP servers and custom subagents.

Limitations

• ⚠Usage-based pricing makes spend less predictable than per-seat subscriptions: because Amp deliberately spends tokens freely for better results, costs scale with consumption and heavy multi-agent use can add up quickly.
• ⚠Proprietary with no open-source or self-hosted edition: teams wanting a forkable, auditable agent they run on their own infrastructure cannot use Amp, unlike open-source alternatives.
• ⚠Terminal-centric with thin non-G2 signal: Amp is strongest for developers comfortable in the CLI, and independent validation outside its 91 G2 reviews (for example Product Hunt) remains limited for a product this new.

Pros

• ✓Multi-agent parallel execution with Skills, Automations, and Sites: Codex runs multiple agents simultaneously in isolated git worktrees, Automations handles unprompted routine work like issue triage and CI/CD, and Sites enables hosted web project deployment directly from the Codex app.
• ✓Available across five IDE surfaces plus web and CLI: official VS Code extension (compatible with Cursor and Windsurf), native JetBrains integration, Xcode support, desktop app, CLI via npm, and web access, with 60+ app integrations including GitHub, GitLab, Slack, Google Drive, SharePoint, and Atlassian.
• ✓Tiered from Free through Enterprise with transparent pricing: Free limited access lets developers evaluate before committing to Plus at $20/month, with Enterprise adding data residency in ten regions, SCIM, Enterprise Key Management, and dedicated onboarding.

Limitations

• ⚠Requires ChatGPT subscription for meaningful access: Free tier has limited Codex access; expanded usage requires Plus at $20/month or higher, adding subscription overhead for developers already paying for other AI tools.
• ⚠Cloud-only execution with no self-hosted or on-premises deployment option: all Codex tasks run in OpenAI cloud sandboxes, which is a hard constraint for organizations that require fully local AI tooling, though Enterprise offers data residency in ten regions.
• ⚠Credit and rate-limit throttling on lower tiers: Plus users can hit usage caps during peak periods on complex multi-step tasks, and the credit structure varies by plan tier with no published per-task cost transparency, making budget forecasting difficult for teams with variable workloads.