Codex vs. Codestral
A side-by-side comparison based on G2 review data.
| Metric | Codex | Codestral |
|---|---|---|
| Overall rating | 4.7 | 4.3 |
| Review count | 19 | 30 |
| Ease of use | 9.2 | 8.9 |
| Ease of setup | 9.4 | 9.1 |
| Quality of support | 9.2 | 8.5 |
| Meets requirements | 9.5 | 8.6 |
| NPS | 83.333333 | 46.666667 |
| Small Business | 47.4% | 60.0% |
| Mid-Market | 31.6% | 16.7% |
| Enterprise | 21.1% | 23.3% |
| Total page views | 437 | 160 |
| Total LLM citations | 7,269 | 16 |
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.
Codestral
Codestral is an open-weight generative AI model developed by Mistral AI, specifically designed for code generation tasks. It assists developers in writing and interacting with code through a unified instruction and completion API endpoint. Proficient in over 80 programming languages—including Python, Java, C, C++, JavaScript, and Bash—Codestral also supports less common languages like Swift and Fortran, making it versatile across various coding environments.