Alternative to Greptile
Akira vs Greptile: which alternative makes more sense for reviewing Pull Requests?
Comparing AI-powered PR review tools gets easier when the criteria sit side by side. This page compares Akira with Greptile on the points that matter most day to day: where the comment appears on the Pull Request, which AI is behind it, how merge blocking works, and how the price behaves as the team grows β including Greptile's credit-based model, unlike a fixed per-seat subscription.
Side-by-side comparison
Data verified on July 5, 2026
| Criterion | BlueAI Akira | Greptile |
|---|---|---|
| Where the comment appears | Directly on the GitHub Pull Request review, line by line, with severity and a suggested fix. | Posts a summary of the PR as a top-level comment and inline comments on the specific lines where it finds issues. |
| Diff limit per PR | Defined by plan β the Scale plan includes unlimited diff per PR. | There's no publicly documented fixed limit per plan β there's a user-adjustable setting ('File change limit') that defines the largest PR automatically reviewed. |
| AI model | Akira's advantage on this criterion: Google Gemini and Anthropic Claude. | Not publicly disclosed for the standard SaaS offering. The self-hosted/Enterprise version routes to multiple providers (OpenAI, Anthropic, AWS Bedrock) via a configurable internal proxy. |
| Merge blocking via GitHub Checks | Publishes a check status on the Pull Request β requiring that check before merge is configured by the repository itself in GitHub's branch protection rules. | Yes β publishes a status check on GitHub that can be marked as required under 'Require status checks to pass before merging', blocking the merge until the review finishes. |
| Security analysis (OWASP) | Akira's advantage on this criterion: Full OWASP analysis included in the Scale plan. | Not publicly documented. The product's official security documentation mentions SOC 2 Type II compliance, not an OWASP-aligned code analysis methodology. |
| Pricing model | Per active developer, with a free plan for public repositories β see current prices at /precos. | Per developer + usage. Free Starter (1 dev, 50 credits/month). Pro: US$30/dev/month, with 50 credits included; extra credits at US$1 each. Enterprise available on request (includes self-host, SSO/SAML). |
Proven and verified advantage of Akira on this criterion
When Akira makes more sense
Teams that prioritize a public comment directly on the Pull Request timeline β acting as a quality showcase visible to the whole team on GitHub β and prefer a predictable per-seat cost, without depending on a credit system that can vary month to month, tend to adapt well to Akira.
When it's worth considering Greptile
If your team needs to run the tool on its own infrastructure (self-host), choose which AI provider processes the code, or already requires corporate SSO/SAML β features of Greptile's Enterprise plan β it covers that scenario well. The goal here is honesty, not pushing Akira on everyone β some of your team's specific needs may fit another tool better.