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Context-heavy AI review engine

Critique vs Greptile.

Greptile focuses on deep codebase understanding — it indexes every repo and uses that context for PR reviews. It is priced per seat, with enterprise tiers for larger orgs, and is known for catching cross-file issues that token-limited tools miss.

Quick answer

Greptile and Critique both invest heavily in full-repo context via hybrid retrieval. The difference: Greptile is a single-model review surface with per-seat pricing; Critique runs a lead plus specialist sub-agents through a swappable model catalog, priced as a team-shared credit pool starting at $12/mo.

Our pick

Critique

Multi-model agentic code review for GitHub. Scout + lead + specialist sub-agents on every PR. Credit pool pricing from $12/mo, shared across the team.

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AI code review with full-repo context awareness

Greptile

Greptile's seat-based pricing means a 20-person team costs ~$600/mo. Critique Pro at $35/mo (or Ultra at $129/mo) is shared across the entire team.

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Feature-by-feature.

CapabilityCritiqueGreptile
Pricing modelCredit poolPer seat
Model choice20+ models; user-selectable per runVendor-curated, limited swap
Full-repo contextHybrid retrieval + pplx-embed-v1-4b embeddingsFull-repo embeddings
Multi-agentScout + lead + specialistsPrimarily single-pass
Fix agentRemedyComment-only by default
Free chatCritique Chat includedReview-focused only
Student / OSS$5/mo with unlimited indexingEnterprise-focused
Price at 10 devs$35/mo team-shared (Pro)~$300/mo

Verify pricing on greptile.com before purchase.

Why teams pick Critique

  • Credits beat seats once your team is more than ~3 people.
  • Multi-model routing catches a wider set of bug classes than any single model alone.
  • You want a free chat lane in the same product, not a separate tool.
  • You want explicit specialist sub-agents (security, tests, architecture) rather than a single pass.

When Greptile is the right pick

  • Your team is standardising on a single-vendor AI review surface and wants fewer choices.
  • You have enterprise procurement already approved for Greptile specifically.

Questions teams ask us.

01Is Critique a good alternative to Greptile?

Open

Greptile and Critique both invest heavily in full-repo context via hybrid retrieval. The difference: Greptile is a single-model review surface with per-seat pricing; Critique runs a lead plus specialist sub-agents through a swappable model catalog, priced as a team-shared credit pool starting at $12/mo.

02What does Critique cost compared to Greptile?

Open

Greptile's seat-based pricing means a 20-person team costs ~$600/mo. Critique Pro at $35/mo (or Ultra at $129/mo) is shared across the entire team. Critique's public pricing: Standard $12/mo, Pro $35/mo, Ultra $129/mo (all credit-pool, team-shared). Student and OSS maintainers get $5/mo with unlimited repository indexing.

03Which models does Critique use that Greptile does not?

Open

Critique routes 20+ frontier and mid-tier LLMs — GPT-5.4, Claude Opus 4.7, Gemini 3 Pro, Kimi K2.6, GLM-5, Grok 4, and more — as either the lead reviewer or specialist sub-agents on every PR. You pick which model drives each run; Critique handles caching, fallback, and credit accounting.

04Can I use Critique alongside Greptile?

Open

Yes. Many teams keep Greptile for its unique strength (see "When Greptile is the right pick" below) and add Critique as the multi-model review layer on every PR for independent coverage. Install the Critique GitHub App; it does not conflict with other review bots.

05How do I switch from another review tool to Critique?

Open

Install the Critique GitHub App on your organisation, pick the repos you want reviewed, optionally import your existing review policy (language, severity floor, custom instructions), and keep your current tool running in shadow for a week to compare findings. Most teams archive the older tool within two sprints.

Compare Critique against other tools.

See Critique on your own repo.

Create an account, try Critique Chat for free on any repo you have access to, and install the GitHub App on a single repo to see the multi-agent review panel in action before rolling out.