Codestral vs. Greptile
A side-by-side comparison based on G2 review data.
| Metric | Codestral | Greptile |
|---|---|---|
| Overall rating | 4.3 | 4.0 |
| Review count | 30 | 28 |
| Ease of use | 8.9 | 8.6 |
| Ease of setup | 9.1 | 8.6 |
| Quality of support | 8.5 | 8.1 |
| Meets requirements | 8.6 | 8.1 |
| NPS | 46.666667 | 42.857143 |
| Small Business | 60.0% | 64.3% |
| Mid-Market | 16.7% | 25.0% |
| Enterprise | 23.3% | 10.7% |
| Total page views | 160 | 404 |
| Total LLM citations | 16 | 560 |
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.
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.