Key findings
- At list price, 20 developers cost US$480 a month on CodeRabbit Essentials billed annually and US$380 on Copilot Business, before overages. Greptile Pro has no seat fee, so 400 Base reviews a month cost US$400 in credits (GILD calculation). Copilot seats also cover completions and agents.
- CodeRabbit reviews every push to an open pull request by default, so agents that push often spend the allowance fastest.
- Reviewer time is the larger cost. Reading wrong or low-value comments can cost more than the seat.
- Measured effects on merge time run both ways. A peer-reviewed study at Beko found its AI reviewer lengthened average pull request closure time, while Atlassian measured a 31% faster median cycle time with its own reviewer.
CodeRabbit and Copilot seat prices sit close together, and Greptile Pro charges no seat at all. The bill that matters comes from what spends a review and from the reviewer time its comments take. CodeRabbit charges per developer with an hourly review allowance, Greptile from prepaid credits shared across the organization, and GitHub Copilot from an AI credit pool shared with chat and agents.
Three pricing models
CodeRabbit Essentials costs US$24 per developer per month billed annually and includes 5 PR reviews per developer per hour. Additional reviews pause or bill at US$0.25 per reviewed file, with no spending cap until an admin sets one. Greptile Pro has no seat fee and bills prepaid credits at US$1 each, shared across the organization. Base uses 1 credit, Plus 3, and Apex 10. Copilot Business costs US$19 per seat per month and pools 1,900 AI credits per user. GitHub estimates Lite reviews at US$0.05 to US$1 in credits. Usage beyond the pool costs US$0.01 per credit.
Greptile Pro includes no credits, so a 20-developer team running 400 Base reviews a month buys 400 credits, or US$400 (GILD calculation). Copilot Business pools 38,000 AI credits across the 20 seats (GILD calculation), and chat and agents draw on the same pool, so its seat price buys more than review.
What drives consumption
A force-push, rebase, or reopen also spends a CodeRabbit review. Nathan Payne ran through 5 reviews an hour across nine repositories where agents push often. Uri Harduf left CodeRabbit's free tier because its limit of two concurrent reviews made merges wait in line.
On Greptile, review depth sets credit use. A developer who runs 20 Plus reviews uses 60 credits, or US$60 on Pro. On Copilot, 500 Lite reviews use US$25 to US$500 in credits (GILD calculation from GitHub's published range), drawn from the pool that chat and agents also use.
The reviewer-time side
Measured results on time saved point both ways. At Beko, a peer-reviewed study examined an AI review bot built on Qodo's PR-Agent. Across three projects, average pull request closure time rose from 5 hours 52 minutes to 8 hours 20 minutes. One project's time halved and the other two rose. At Atlassian, pull requests that drew comments from its own Rovo Dev reviewer closed at a median of 14.35 hours, against 20.73 hours for those without. This was a 31% cut its researchers measured on Atlassian's own product. CodeRabbit's published Taskrabbit case study reports average time to merge falling from 10 days to 7. Both studies cover other bots and the Taskrabbit figure is CodeRabbit's own, so record your time to first review and time to merge before the pilot and during it.
Lychee counted 290 findings on 28 pull requests and rated 28% uninteresting or wrong. At that rate, GILD calculates, reviewers dismiss about three findings per pull request. Martin Zoeller judged CodeRabbit's price astonishingly low and still not worth it for a client, because the reviews missed what mattered.
A cost model for your pilot
Pilot on one busy repository. For each merged pull request, record the reviews spent, the overage charges, and the minutes people spent reading AI comments. Track how long each pull request waits for its first review and how long it takes to merge. Compare the monthly bill with the reviewer minutes saved.
- Seat cost: developers who open pull requests times the plan price.
- Usage cost: over-limit files, credits, or AI credits, under a cap you set.
- Reading cost: AI comments per pull request times the minutes to read and dismiss each one.
- Time saved: change in time to first review and human review minutes per merged pull request.
Methodology
GILD calculated costs from CodeRabbit's list prices and GitHub's published pricing, checked October 12, 2026, and Greptile's, checked October 28, 2026, in US dollars. Each calculation states its team size and review count. Reported figures come from the linked public accounts, each named where it is used.
Products in this piece
Sources
- Official documentation
- 10
- Public source
- 6
- CodeRabbit pricing
- CodeRabbit docs: Plans and pricing
- CodeRabbit docs: Usage-based reviews
- CodeRabbit docs: Review rate limits
- Greptile pricing
- Greptile docs: Billing
- Greptile docs: Review tiers
- GitHub Docs: About Copilot code review
- GitHub Docs: Plans for GitHub Copilot
- Nathan Payne, mergepath issue #826: rebalance the review topology (Jul 30, 2026)
- island-io/mila pull request #221: replace CodeRabbit with Cursor Bugbot (Aug 31, 2026)
- Lychee blog: AI-assisted reviews, one month later (Sep 13, 2025)
- Martin Zoeller: CodeRabbit AI Review: Is It Worth It for Your Team? (Jul 30, 2026)
- arXiv: Automated Code Review In Practice (Umut Cihan et al., Dec 24, 2024)
- arXiv: RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian (Kla Tantithamthavorn et al., Jan 3, 2026)
- CodeRabbit: How Taskrabbit cut time to merge by 25% with AI code reviews