Codex vs. Greptile
A side-by-side comparison based on G2 review data.
| Metric | Codex | Greptile |
|---|---|---|
| Overall rating | 4.7 | 4.0 |
| Review count | 19 | 28 |
| Ease of use | 9.2 | 8.6 |
| Ease of setup | 9.4 | 8.6 |
| Quality of support | 9.2 | 8.1 |
| Meets requirements | 9.5 | 8.1 |
| NPS | 83.333333 | 42.857143 |
| Small Business | 47.4% | 64.3% |
| Mid-Market | 31.6% | 25.0% |
| Enterprise | 21.1% | 10.7% |
| Total page views | 437 | 404 |
| Total LLM citations | 7,269 | 560 |
Codex
Codex is OpenAI’s agentic coding partner built to accelerate real engineering work end-to-end, helping you plan, implement features, refactor, review, and ship releases while fitting into the tools and workflows developers already use. Rather than acting like a chat-only assistant, it’s positioned as a “build with agents” experience that can take on substantive tasks (and context) across a codebase so you spend less time on repetitive execution and more time on decisions, design, and quality.
Greptile
Greptile is an AI code review tool for software teams. It reviews pull requests with context from the full codebase to identify bugs, security risks, and issues that span multiple files. Greptile indexes files, functions, and dependencies to assess how a change affects the wider system. It brings findings into the pull request workflow and lets developers send issue context to coding agents such as Claude Code, Cursor, Codex, and Devin. Teams can define review rules in plain English and provide repository-specific context.