# Greptile vs Entelligence: AI Code Review Benchmark

> Entelligence vs Greptile on real production PRs: 47.2% F1 vs 36.9%, 50.0% precision vs 30.7%, and reviews in 10-30s instead of 1-3 min.

Source: https://entelligence.ai/vs/greptile.com

**Greptile vs Entelligence** Head-to-head PR review comparison

We benchmarked both tools on 67 real production pull requests across 5 major open-source repositories using F1 score, precision, and review speed.

## At a glance

- F1 Score: 47.2% (vs Greptile 36.9%)
- Precision: 50.0% (vs Greptile 30.7%)
- Review Speed: 10-30s (vs Greptile 1-3 min)
- Docs Always in Sync: 100% (vs PR summaries only)

## On PR Review Quality

We benchmarked Entelligence and Greptile head-to-head across real-world pull requests using F1 score, the standard measure balancing precision and recall.

- F1 Score: Entelligence 47.2% vs Greptile 36.9%
- Recall: Entelligence 44.8% vs Greptile 46.3%
- Precision: Entelligence 50.0% vs Greptile 30.7%
- Golden Comments Found: Entelligence 30 / 67 vs Greptile 31 / 67

Both tools found a similar number of golden comments. The difference is in precision — specifically how much of what each tool flags is actually worth acting on. At 50.0% precision, Entelligence cuts through more noise, which matters when engineers are reviewing high volumes of PRs and need to trust what they read.

## What Makes Teams Look Beyond Greptile

- **Review noise.** Greptile’s strength is exhaustive analysis, but that can also produce a lot of output. Teams with busy PR queues sometimes find signal getting lost in volume.
- **Single-repo focus.** Greptile works best in a single repository setup. Multi-repo environments or monorepos often need cross-repo consistency and dependency tracking that goes beyond what it offers today.
- **No engineering visibility.** Once the PR is merged, Greptile’s job is done. There’s no view into team velocity, code health trends, or how the org is performing over time.
- **No AI ROI tracking.** Most engineering teams are now paying for Cursor, Copilot, or Claude. Greptile doesn’t help you understand whether that spend is working.

## Beyond the PR

- **Team and velocity metrics.** Output per engineer and team, review turnaround times, and performance trends — all in one dashboard.
- **Code churn and risk.** See which repos and files are accumulating risk before they become incidents. Codebase-wide health, not just the current diff.
- **AI ROI tracking.** LOC multiplier, cost efficiency, acceptance rates, and dollar-value savings — hard numbers for when leadership asks what the AI budget is returning.
- **Ask Ellie, AI in Slack.** An AI agent inside Slack that gives engineering leaders instant answers about team health, velocity, and blockers.

## Which Tool Fits Your Team

| Feature | Greptile | Entelligence |
| --- | --- | --- |
| Deep PR Review | full | full |
| Precision Comments | full | full |
| Multi-repo Support | full | full |
| Learns from Incidents | none | full |
| Team Velocity Tracking | none | full |
| AI ROI Measurement | none | full |
| Engineering Leadership Dashboard | none | full |

## The Bottom Line

Greptile is strong for single-repo PR review depth. Entelligence adds the engineering visibility layer — team health, AI ROI, and risk — that leaders need on top of code review.

_This comparison is published by the Entelligence team using data from an independent open-source benchmark. If anything here is inaccurate, let us know and we’ll update it._

All comparisons: [Compare Entelligence](https://entelligence.ai/vs.md)