Codex vs. Junie
A side-by-side comparison based on G2 review data.
| Metric | Codex | Junie |
|---|---|---|
| Overall rating | 4.7 | 4.4 |
| Review count | 19 | 13 |
| Ease of use | 9.2 | 8.6 |
| Ease of setup | 9.4 | 9.5 |
| Quality of support | 9.2 | 8.6 |
| Meets requirements | 9.5 | 8.0 |
| NPS | 83.333333 | 61.538462 |
| Small Business | 47.4% | 84.6% |
| Mid-Market | 31.6% | 7.7% |
| Enterprise | 21.1% | 7.7% |
| Total page views | 437 | 206 |
| Total LLM citations | 7,269 | 1,166 |
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.
Junie
Junie is JetBrains' AI coding agent, built to be cost-efficient. It plans with a powerful model and implements with a faster one, so you spend fewer tokens per task while getting the same quality. On the independent SWE-Rebench benchmark, Junie resolves more real-world coding issues than other leading agents, at a lower cost per task. Junie supports the latest models from major frontier labs on day zero, so you're never waiting on integration work to use what just shipped.