OpenAI Codex
Autonomous coding agent by OpenAI
Codex is OpenAI's cloud-based autonomous coding agent.
Opens official website
Token-based rate card verified
OpenAI's current Codex rate card prices usage by input, cached-input, and output tokens and notes that actual consumption varies by task.
Verify source: OpenAI Help Center →About OpenAI Codex
Codex is OpenAI's coding agent for delegating repository work across cloud, command-line, IDE, and code-review workflows. It can inspect a codebase, edit files, run checks, and return reviewable changes. Access and usage are tied to eligible ChatGPT workspace plans or metered API usage, and the current credit rate card is token-based rather than a fixed number of credits per task.
✅ Pros
- +Available across cloud, CLI, IDE, and code-review workflows
- +Can inspect repositories, edit files, and run checks
- +Supports background delegation and interactive local work
- +Fits existing GitHub-centered engineering workflows
- +Business and enterprise plans add workspace administration
- +Official rate card makes token accounting auditable
❌ Cons
- −Token-based credits make task cost variable
- −Actual consumption depends on context size and generated output
- −Cloud execution may not suit every sensitive repository
- −Plan availability and included usage can change
- −Teams need usage monitoring and approval rules for autonomous changes
Key Features
Repository Workflows
Codex can inspect a repository, edit files, run checks, and return changes for review.
Multiple Work Surfaces
Cloud, CLI, IDE, and code-review integrations support different delegation styles.
Token-Based Metering
The current official rate card measures input, cached-input, and output tokens; cost therefore varies by task.
Pricing Plans
- ✓Codex product access by plan
- ✓additional credits may be available
- ✓check current plan limits
- ✓workspace administration
- ✓shared or metered agentic usage
- ✓organization controls
- ✓input, cached-input, and output pricing
- ✓model-specific rates
- ✓usage varies by task
Prices, plan limits, and promotions may change. Verify final pricing on the official site. Last verified: 2026-07-18.
🏆 Our Verdict
Codex is a strong fit for developers and teams already using OpenAI products, especially when repository delegation and review are more valuable than simple code completion. Treat it as metered engineering automation: establish cost visibility, repository permissions, and human review before scaling it across a team.
✅ Best For
Quick Info
- Pricing
- freemium
- Category
- ai-agents
- Rating
- 4.4 / 5.0
- Last Reviewed
- 2026-07-17T00:00:00+00:00