Comparison

Octopus vs Greptile

Both Octopus and Greptile build on RAG to give LLMs deep codebase context. They differ in product focus, licensing, and deployment. This page lays out the differences so you can pick the right tool.

FeatureOctopusGreptile
GitHub support
Bitbucket support
GitLab supportPlanned
Primary product focusAutomated PR review + codebase chatCodebase intelligence + PR review
Codebase context approachRAG (pre-indexed embeddings + vector search)RAG (pre-indexed embeddings + vector search)
Language coverageLanguage-agnostic (LLM-based)Language-agnostic (LLM-based)
Standalone codebase chat / Q&A
Codebase Q&A API for developers
Inline PR comments
Severity-rated findingsCritical, Major, Minor, Suggestion, TipReview comments
Open sourceMIT licensedProprietary SaaS
Self-hosting optionEnterprise plans
Bring your own LLM API keysEnterprise plans
Pricing modelUsage-based creditsPer-developer subscription
Free tierFree credits + free self-hostFree trial

When to choose Octopus

  • You want to self-host on your own infrastructure, for free.
  • Automated PR review with severity ratings is your main use case.
  • You prefer usage-based credits over per-developer seats.
  • You want to bring your own Claude or OpenAI API keys.
  • Open source matters for audit, compliance, or customization.

When Greptile is a great fit

  • You use GitLab and want mature support today.
  • Building your own product on top of a hosted codebase Q&A API is a core requirement.
  • You prefer a fully managed SaaS so your team can stay focused on product work.
  • Per-developer pricing is a better fit for your budgeting process.

Frequently asked questions

Can I try both Octopus and Greptile on the same repository?

Yes. Both tools install via your Git provider and configure independently. Running them in parallel for a few pull requests is a common way to see which review style fits your team.

Do Octopus and Greptile use the same technical approach?

The foundation is similar: both use RAG (Retrieval Augmented Generation) with pre-indexed vector embeddings to give the LLM relevant codebase context during review and chat. Where they differ is positioning, deployment, and licensing rather than core architecture.

Is Octopus open source?

Yes. Octopus is MIT-licensed and free to self-host on your own infrastructure. Greptile is a proprietary SaaS. If audit, customization, or running fully on-prem matters for your team, Octopus is the only option of the two.

Which is better for codebase chat or Q&A?

Greptile started with codebase intelligence and Q&A as its flagship experience, and that focus shows in its API and chat product. Octopus offers chat too, but automated PR review with severity-rated findings is the primary product. Pick based on which use case you care about most.

How does pricing work with Octopus?

Octopus is credit-based and usage-only, so you pay for what the AI actually reviews. You can also bring your own Claude or OpenAI API key and pay the LLM provider directly. Self-hosted Octopus is free. See the pricing page for current rates.

Try Octopus free on your next PR

Free credits to start, open source, and self-hostable. No credit card required.