AI Agent Index

OpenAI Codex vs Amp (2026)

Side-by-side comparison of OpenAI Codex vs Amp: pricing, capabilities, integrations, deployment complexity, and ratings. Last updated July 10, 2026 by The AI Agent Index Editorial Team.

Data sourced from The AI Agent Index

OpenAI Codex logo

OpenAI Codex

by OpenAI

OpenAI coding agent for building and shipping software autonomously. Multi-agent parallel execution, Skills, Automations, and Sites. Free limited access; Plus $20/mo; Pro $200/mo; Enterprise custom.

freemiumB2B
Visit OpenAI Codex
Amp logo

Amp

by Sourcegraph

Frontier agentic coding agent by Sourcegraph for the terminal and editor, with subagents, remote execution, and MCP tools. Pay-as-you-go with zero markup; Amp Free tier; Enterprise adds a 50% premium.

usage-basedBOTH
Visit Amp
OpenAI Codex
Amp
Pricing model
freemium
usage-based
Starting price
$20/mo
Contact sales
Pricing transparency
mostly public
mostly public
Contract type
both
monthly
Customer segment
B2B
BOTH
Deployment
cli, web, api
cli, ide, cloud
Setup difficulty
moderate
easy
Avg setup time
Under 15 minutes for ChatGPT Plus users: sign in, connect GitHub repo, submit first task to Codex cloud
< 15 minutes (install the CLI with one command or add the VS Code extension, then start on Amp Free or buy $5+ in credits and run your first thread)
Editorial rating
4.7 / 5
4.0 / 5
G2 rating
4.8/5 (16 reviews)
4.5/5 (91 reviews)
MCP
Server + client
Client
GitHub stars
N/A
N/A
Data training
no
no
Human in loop
optional
optional
Security certs
SOC 2 Type II, ISO 27001, GDPR, CCPA
SOC 2 Type II

Capabilities

OpenAI Codex

agentic-codingmulti-file-editingterminal-agentgit-nativeautonomouscode-generationworkflow-builder

Amp

agentic-codingterminal-agentmulti-file-editingautonomousgit-native

Pros & Limitations

Editorial assessment

OpenAI Codex

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.

Amp

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.

Frequently asked questions

How does pricing compare between OpenAI Codex vs Amp?

OpenAI Codex uses a freemium model, starting at $20 per month. Amp uses a usage-based model with pricing on request.

View full OpenAI Codex profile

Pricing, reviews, integrations →

View full Amp profile

Pricing, reviews, integrations →

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