Greptile Alternative: LiveReview — Workload Pricing, Risk Scoring, and Real Self-Hosting

Greptile is one of the most capable AI code review tools on the market — strong codebase graph understanding, solid PR comments, and a fast-growing feature set. If you are evaluating it seriously, you should also look at the cases where a different architecture serves the team better: pricing that scales with the code actually reviewed rather than the number of active developers, review at commit time instead of only at PR time, and self-hosting that goes beyond an enterprise tier.

This post compares the two honestly, including where Greptile wins, so you can decide based on your team's constraints.

TL;DR

• Greptile is a hosted PR-review agent: Pro costs $30/seat/month with 50 review credits included, and $1 per extra credit.
• LiveReview prices by reviewed LOC (lines of code), not by seat: free up to 30k LOC/month, then flat workload bands with unlimited users on paid plans.
• LiveReview reviews your code at commit time via the free, open-source git-lrc CLI in addition to reviewing PRs — so broken logic and leaked credentials fall out before code lands, not after.
• LiveReview ships a risk-aware review model — risk scoring, review-priority ranking, and a 10-category risk taxonomy — plus Repository Rules and CI/CD Gates to enforce policy.
• For sensitive code, LiveReview runs fully self-hosted or air-gapped on every paid tier's philosophy (not just top tier): your code goes directly from your servers to your chosen AI provider.

What is Greptile?

Greptile builds a graph of your codebase and uses it to review pull requests with context that most bots miss. Its highlights:

• AI review on GitHub, GitLab, and Bitbucket PRs, with codebase-aware comments.
• Codebase chat and agentic review modes.
• SaaS-first delivery; an Enterprise tier covers larger teams.

As of this writing (October 2026, per Greptile's public pricing page), pricing is: a free Starter tier for a single developer with 50 credits/month, Pro at $30 per seat per month with 50 credits included per seat, and $1 per credit beyond that. A seat is any developer who received a review that billing period, so the bill scales with your number of active reviewers.

What is LiveReview?

LiveReview is the org-wide, risk-aware AI code review harness for business-critical systems:

• Connect layer: GitHub, GitLab, Bitbucket, Gitea, and Azure DevOps; a dedicated VS Code extension; full API access; MCP tools so AI agents can trigger reviews.
• Review layer: its own fine-tuned model or any provider you bring (OpenAI, Anthropic, Gemini, AWS Bedrock, self-hosted Ollama) — BYOK means you always control who sees your code.
• Deployment layer: cloud-first for convenience, but fully self-hosted or air-gapped when your code is too sensitive to touch a third-party service.
• Enforcement layer: Repository Rules and CI/CD Gates, with an auditable reviewed-vs-skipped trail recorded in git log via git-lrc.

Key differences at a glance

| Dimension | Greptile | LiveReview | |---|---|---| | Review surface | PR-first | PRs + commit-time micro reviews (git-lrc) | | Pricing unit | Per active developer seat + review credits | Per reviewed LOC, unlimited users | | Entry price | Free for 1 dev / 50 credits; $30/seat/mo | Free up to 30k reviewed LOC/month | | Review model | Codebase-graph-aware PR comments | Risk scoring, priority ranking, 10-category risk taxonomy | | Policy enforcement | Config rules | Repository Rules, CI/CD Gates, reviewed/skipped trail in git | | Self-hosting | Enterprise tier option | Core design principle — cloud, self-hosted, or air-gapped | | AI provider | Greptile's models | BYOK: OpenAI, Anthropic, Gemini, Bedrock, Ollama, or LiveReview's model |

Pricing and total cost of ownership

The two products price fundamentally different currencies — people versus code actually reviewed — so the honest comparison is your own workload.

Take 25 developers each opening ~20 PRs a month averaging ~200 changed lines:

• Greptile: 25 active reviewers × $30/seat = $750/month before any credit overage (overages add $1/credit once a seat burns through its 50).
• LiveReview: 25 × 20 × 200 = ~100k reviewed LOC → the 100k band at $32/month. Even at 4× that churn (400k LOC), you are at $128/month — still a fraction of the per-seat bill, and adding reviewers changes nothing.

Where the picture shifts: LiveReview's LOC meter is indifferent to how many people touch code, while Greptile's seat model becomes simple and cheap when review volume is small and seat count is small. Run both calculators on your real numbers before deciding.

When Greptile makes sense

• Your team wants a polished, hosted PR reviewer and is happy paying for reviews per active developer.
• Codebase-graph chat is a big part of the workflow you want.
• Your code can live in a hosted SaaS pipeline without compliance concerns.

When LiveReview is the better fit

• Your code is too sensitive for another cloud service. LiveReview self-hosted sends code directly from your servers to your AI provider — including a local Ollama model — so nothing transits a vendor cloud.
• You want review before merge-day, not just at PR time. git-lrc runs a micro review inside git at commit time, so bad commits get caught where they are born.
• You care about enforcement, not suggestions. Risk scoring plus Repository Rules and CI/CD Gates make review policy auditable org-wide.
• Headcount is growing but budget should not grow with it. Paying for reviewed LOC means hiring doesn't multiply your review bill.

Final thoughts

Greptile and LiveReview make different bets. Greptile bets that review belongs in the PR pipeline and should be billed per reviewer. LiveReview bets that review should happen at commit time, scale with the code you actually change, stay enforceable, and — for business-critical systems — never require shipping your code to another service.

If the second bet matches your constraints, start free and see how risk-aware review feels on your own repositories.

Related reading: CodeRabbit Alternative: LiveReview for the SaaS-vs-self-hosted tradeoffs in more depth, or Our Code Is Too Sensitive to Send to Another Service. What Should We Do? for the deployment pattern behind the self-hosting argument.