# Greptile Alternatives in 2026: Five Reviewers Compared, and Why Sandbox Tests Aren't the Same as Running Your Product

> Looking at Greptile alternatives over credit overages or early noise? Five reviewers with current pricing, what Greptile's TREX sandbox mode does and doesn't run, and the check that still needs a deployed PR.

Source: https://qa.tech/compare/greptile-alternatives · Published: 2026-10-02

---
<div class="qa-highlight"><p><strong>Short answer:</strong> Greptile is the AI code reviewer that's gone furthest toward actually running something: its TREX beta writes tests and executes them in a sandbox during review. If you're leaving it, the two complaints we hear are the credit model and the first few weeks of noise, and the five tools below handle both. But if you came to Greptile for the execution, be careful what you swap it for, because most alternatives run nothing, and even TREX doesn't run your deployed product.</p></div>

## What Greptile does that the others don't

Greptile indexes your whole repository into a graph, so a review can see that a change in one file breaks a caller three directories away. That's the original pitch and it still holds. In June 2026 it added TREX, in public beta: with it on, Greptile <a href="https://greptile.com/changelog" rel="noopener" target="_blank">writes and runs targeted tests in a sandbox</a>, with runs that use the services, dependencies and framework your repo already has rather than a generic mock. Greptile's <a href="https://www.greptile.com/trex" rel="noopener" target="_blank">product page</a> says it starts your services, sends real requests, exercises the changed code and leaves logs, screenshots and traces on the PR. Their eval claims 20% more bugs caught with it on.

Pricing is <a href="https://www.greptile.com/pricing" rel="noopener" target="_blank">$30 per seat per month with 50 credits per seat</a>, a free Starter tier for one active developer, and $1 per extra credit (checked 1 Oct 2026). A base review costs 1 credit, Plus 3, Apex 10, and Greptile's billing docs list a <a href="https://www.greptile.com/docs/code-review-bot/billing-seats.md" rel="noopener" target="_blank">TREX review at 3 credits</a>. TREX <a href="https://www.greptile.com/docs/code-review/review-tiers.md" rel="noopener" target="_blank">isn't yet compatible with the Plus, Apex or Auto tiers</a>.

That credit model is the first thing people leave over. Credits are allocated per seat rather than pooled, so a heavy committer can burn through theirs while a quiet seat's go unused. G2 reviewers give Greptile <a href="https://www.g2.com/products/greptile/reviews" rel="noopener" target="_blank">4.0 out of 5 across 21 reviews</a> and name the per-review overage model as the commercial friction point, alongside false positives and noise. Greptile's own docs say to <a href="https://www.greptile.com/docs/code-review/controlling-nitpickiness.md" rel="noopener" target="_blank">give the learning system two to three weeks to adapt to your reactions</a>, which also means the first two to three weeks are noisy.

## Five alternatives, by complaint

**Over the credit model: CodeRabbit.** Flat per-seat pricing, <a href="https://www.coderabbit.ai/pricing" rel="noopener" target="_blank">$24, $48 or $72 per developer per month</a> annually, with a per-developer hourly review cap instead of credits. <a href="https://docs.coderabbit.ai/tools/" rel="noopener" target="_blank">Fifty-plus linters and SAST tools</a> under the LLM, GitHub, GitLab, Bitbucket and Azure DevOps, <a href="https://docs.coderabbit.ai/self-hosted/overview" rel="noopener" target="_blank">self-hosted on Enterprise at 500 seats and up</a>. Expect more comments than Greptile. <a href="https://www.greptile.com/benchmarks" rel="noopener" target="_blank">Greptile's own benchmark</a> scores CodeRabbit at 44% to its 82% on 50 bug-fix PRs recreated from open-source repos in July 2025, which is a vendor's test and should be read that way.

**Over the noise: Cursor Bugbot.** Built to comment rarely. Usage-priced at <a href="https://cursor.com/blog/may-2026-bugbot-changes" rel="noopener" target="_blank">about $1.00 to $1.50 per run</a>, on <a href="https://cursor.com/docs/bugbot" rel="noopener" target="_blank">GitHub, GitLab, Bitbucket and Azure DevOps</a>, with Fix in Cursor links that only help if your team is in Cursor. A Cursor forum thread from February asks for <a href="https://forum.cursor.com/t/feature-request-allow-team-members-to-flag-false-positives-in-bug-reports/152712" rel="noopener" target="_blank">a way to flag false positives</a>, and the false positives it does produce can't be flagged as such yet.

**Over cost on GitHub: Copilot code review.** Already in <a href="https://docs.github.com/en/copilot/get-started/plans" rel="noopener" target="_blank">Copilot Business ($19 a seat) and Enterprise ($39)</a>, metered at <a href="https://docs.github.com/en/copilot/concepts/code-review/code-review" rel="noopener" target="_blank">about $0.05 to $1 per review on Lite effort and $0.25 to $5 on Balanced</a>. GitHub, plus Azure DevOps in public preview. GitHub's own docs say it is <a href="https://docs.github.com/en/copilot/concepts/code-review/code-review" rel="noopener" target="_blank">not guaranteed to spot all problems in a pull request</a>.

**Over on-prem: Qodo Merge.** Single-tenant, on-prem and air-gapped deployment on Enterprise, <a href="https://www.qodo.ai/pricing/" rel="noopener" target="_blank">credit-priced at $0.012 a credit, pooled across the team</a>, in monthly packs from 2,500 credits, with a 14-day trial and no permanent free tier. Its test-generation sibling, Qodo Cover, has been <a href="https://github.com/qodo-ai/qodo-cover" rel="noopener" target="_blank">unmaintained since June 2025</a>, so don't pick Qodo expecting a TREX equivalent.

**For the heaviest review money can buy: Claude Code Review.** Anthropic's managed reviewer runs multiple agents over the diff and surrounding code, then a verification step against actual code behaviour, at <a href="https://code.claude.com/docs/en/code-review" rel="noopener" target="_blank">an average of $15 to $25 per review and about 20 minutes</a>. Research preview, Claude Team and Enterprise only, GitHub only, and the check it posts never blocks. Whether that verification step executes tests isn't stated in the docs.

Honourable mentions: <a href="https://sourcery.ai/pricing" rel="noopener" target="_blank">Sourcery</a> ($12 to $24 per developer), <a href="https://graphite.com/pricing" rel="noopener" target="_blank">Graphite</a> (unlimited AI review bundled into stacked PRs at $40 a user, GitHub only), <a href="https://macroscope.com/content/best-coderabbit-alternatives-2026" rel="noopener" target="_blank">Macroscope</a> (usage-priced, no public rates), and Vercel's agent, which <a href="https://vercel.com/docs/agent/pr-review" rel="noopener" target="_blank">validates its own suggested patches against your real builds, tests and linters in a sandbox</a> before posting them. That last one is the only other reviewer with execution in the loop, and like TREX it's execution of its own output, not of your deployed branch.

## Quick comparison

| Tool | Pricing (1 Oct 2026) | Executes during review? | Runs the deployed PR as a user? |
|---|---|---|---|
| Greptile | $30 per seat + credits; free for 1 dev | TREX beta: writes and runs tests in a sandbox | No |
| CodeRabbit | $24–$72 per dev/month | Linters and analysis scripts | No |
| Cursor Bugbot | ~$1.00–$1.50 per run | No | No |
| Copilot code review | AI credits + Copilot seat | No | No |
| Qodo Merge | $0.012/credit packs | No | No |
| Claude Code Review | ~$15–$25 per review | Verification step; tests not documented | No |
| Vercel Agent | Provider token cost + $0.25/M Vercel rate | Validates its own patches against your build and tests | No |
| QA.tech PR testing | [Metered on test executions](https://qa.tech/pricing); Growth and Enterprise | Yes | Yes: UI, mobile build or API, with a verdict on the PR |

## Sandbox tests versus a running product

TREX makes it look like the gap is closed, so this is the distinction worth getting right. A sandboxed test written by the reviewer checks that the changed code does what the reviewer thinks it should, in an environment the reviewer stood up. That's useful, and a stronger signal than reading, but it's still the reviewer grading its own reading of the diff. What it doesn't do is open the pull request's preview deployment in a browser, log in as a user, go to checkout, and find out that the new discount logic renders a blank total on mobile because of a change two services over that the diff never mentioned.

<a href="https://www.linkedin.com/in/vilhelm-von-ehrenheim/" rel="noopener" target="_blank">Vilhelm von Ehrenheim</a>, QA.tech's co-founder and Chief AI Officer, draws the line as two judges: the reviewer reads the diff, the verifier runs the product. His first piece of advice is to get preview environments onto every PR before worrying about tools, because that's what lets anything run dynamic checks in the actual product instead of only looking at the code.

The reason this matters more now than it did two years ago is volume. A B2B SaaS team told us PR volume tripled in Q1 and doubled again in Q2 with the same two QA staff, and that feedback on anything had got slower because they couldn't be in that many projects at once. A small fintech engineering team shipping five to ten PRs a day in stacked branches wanted a preview environment per PR precisely so something could test each small change rather than a merged lump. Neither team needs a deeper read of the diff; they need each PR run.

## The verifier beside the reviewer

QA.tech's dynamic PR testing is the second judge. TREX starts from the diff and writes tests for the code it sees. This starts from the [PR description and the linked ticket](https://docs.qa.tech/best-practices/pr-testing), picks the existing tests for the user flows the change can reach, [writes one to three new ones only where nothing covers it](https://docs.qa.tech/pr-testing/overview), runs them against the PR's preview deployment, and posts a native review with a verdict, a results table and the evaluation. If the tests ran but never reached the change, the verdict is [unverified](https://qa.tech/product/pr-testing), which is the sandbox-versus-product question answered on the PR itself. On GitHub the [QA.tech / PR Review check](https://docs.qa.tech/pr-testing/github) sits in branch protection like any other required status, so you end up with two gates on the same PR.

![Example of a QA.tech review posted on a pull request: a medium-risk change across three CRM surfaces, eight tests run, one failure with a screenshot of the deal page missing its health badge](https://qa.tech/compare-assets/qa-tech-pr-review-example-acme-signal-pr-46.webp)

*What the review looks like on the PR. This one is from <a href="https://github.com/QAdottech/acme-signal/pull/46" rel="noopener" target="_blank">a pull request on our demo CRM</a>: the new health badge worked on the pipeline board and the deals list, and was missing on the deal's own detail page. A diff reviewer had no way to see that.*

Where TREX runs the code it wrote, this runs the product you deployed. Web through [Chromium](https://qa.tech/product/web-testing) with device presets for mobile web, native iOS and Android from a [simulator or emulator build your CI uploads](https://docs.qa.tech/pr-testing/agents/mobile), API applications from a base URL. GitHub and GitLab natively, anything else via the [change review API](https://docs.qa.tech/pr-testing/api). The review has [no code quality opinions and no references to other bot comments](https://docs.qa.tech/pr-testing/overview), so Greptile's thread stays Greptile's.

If the credit model works for you, Greptile is the strongest reader on this list and there's no reason to drop it. The verifier covers the part that reading can't.


Also in this series: [CodeRabbit alternatives](https://qa.tech/compare/coderabbit-alternatives), [Qodo alternatives](https://qa.tech/compare/qodo-alternatives), [Cursor Bugbot alternatives](https://qa.tech/compare/cursor-bugbot-alternatives) and [GitHub Copilot code review alternatives](https://qa.tech/compare/github-copilot-code-review-alternatives).
