Greptile vs Sweep AI
Two of the most-asked-about agents in the coding space. Here's how they actually stack up.
Greptile
AI codebase search and PR review that understands your entire repo, not just the diff
From $30/mo
Read full review →Sweep AI
AI GitHub bot that turns issues into pull requests automatically
Free + $120/mo
Read full review →Side-by-side comparison
| Greptile | Sweep AI | |
|---|---|---|
| Tagline | AI codebase search and PR review that understands your entire repo, not just the diff | AI GitHub bot that turns issues into pull requests automatically |
| Pricing | From $30/mo | Free + $120/mo |
| Categories | coding, code-review, code-search | coding, github-bot, autonomous-agent |
| Made by | Greptile | Sweep AI |
| Launched | 2024-03 | 2023-09 |
| Platforms | Web, API, GitHub, GitLab | GitHub |
| Status | active | active |
Greptile highlights
- + Full codebase indexing for cross-repo semantic search
- + PR review with context from the entire repository, not just the diff
- + Natural-language queries across all indexed repos
- + API access for building internal tools and AI agents on top of your codebase
- + GitHub and GitLab integration
Sweep AI highlights
- + Reads GitHub issues and automatically opens pull requests
- + Plans code changes by indexing and understanding the full codebase
- + Responds to PR review comments and iterates on the code
- + Identifies which files to change based on the issue description
- + Leaves explanatory comments describing its reasoning
Frequently Asked Questions
Which is better, Greptile or Sweep AI?
Neither is universally better. Greptile (From $30/mo) leans into coding, while Sweep AI (Free + $120/mo) is closer to coding. Pick based on which workflow you actually do every day.
What is the price difference between Greptile and Sweep AI?
Greptile is from $30/mo. Sweep AI is free + $120/mo. See the pricing row in the comparison table.
Can I use Greptile and Sweep AI together?
In most cases, yes. They serve overlapping but distinct needs, so running them side by side is common until you decide which fits your workflow.