Mesrai

Mesrai vs Greptile

BYOK vs bundled pricing, multi-agent review vs whole-repo graph indexing. Where each one wins for your team's situation in 2026 — with the 90-second decision rule and real benchmark numbers.

Defect catch (overall)
75% vs 67%
Critical findings
86% vs 71%
Cost at scale
−50-70%
II.TL;DR — four takeaways
4 cards
  • · Mesrai wins

    BYO LLM key

    Mesrai routes review calls through your provider account; Greptile bundles LLM into the seat fee. BYOK saves 60-80% at scale.

  • · Mesrai wins

    Multi-agent review

    Mesrai runs five specialist agents in parallel — security, performance, architecture, bug, mesrai-rules. Greptile uses a single-pass review over its repo index.

  • · Greptile wins

    Whole-repo indexing

    Greptile indexes the entire monorepo as a graph at install — strongest cross-file analysis for very large codebases. First index can take an hour on big repos.

  • · Mesrai wins

    Comment-only boundary

    Mesrai stays comment-only by default. Greptile also keeps a conservative boundary — both more cautious than CodeRabbit on autonomy.

III.Feature matrix
16 dimensions
// featureMesraiGreptile
  • Inline PR comments
  • AI code-change summary
  • Chat with PR bot
  • Multi-agent reviewsecurity · performance · architecture · style
  • BYO LLM keyAnthropic, OpenAI, DeepSeek, Bedrock, Vertex
  • Whole-repo graph indexingimports, calls, type relationships across files
    per-PR context loading
    full-repo pre-index
  • Free trialevaluate before buying
    14-day, full features, no card
    14-day trial
  • Plain-language rules
  • External context (Jira, Notion, MCP)
  • Pulse metrics dashboardDORA, cycle-time, review-load
  • Reaction-based learning
  • Hosts supportedGitHub · GitLab · Bitbucket · Azure Repos
    GitHub-first, others varies
  • Native IDE plugin
  • Self-host (enterprise)
  • Comment-only boundary by default
  • Pricing model
    BYOK seat + your LLM bill
    $30/seat/mo + $1/extra review

✓ full coverage△ partial / on roadmap✕ not available

IV.Defect-detection audit
INTERNAL AUDITv2026-06

Internal audit on 24 pattern-seeded pull requests across three production codebases (TypeScript, Python, Go). Both reviewers ran on Anthropic claude-opus-4-7 with default prompt packs. Severity was labelled before the run; ✓/✕ reflects whether the reviewer flagged the seeded defect on the inline comment.

Mesrai overall
75%18/24 caught
Greptile overall
67%16/24 caught
  • Criticalauth bypass, RCE, secret exfiltration
    7 bugs in dataset
    Mesrai6/7 · 86%
    Greptile5/7 · 71%
  • Highconcurrency, ownership-check, tenant leakage
    9 bugs in dataset
    Mesrai6/9 · 67%
    Greptile7/9 · 78%
  • Mediuminjection edge-cases, log leakage, CSRF
    8 bugs in dataset
    Mesrai6/8 · 75%
    Greptile4/8 · 50%
V.Per-codebase audit
3 codebases · 24 PRs

The same 24 pull requests, broken out by codebase. Tab through to inspect each PR's seeded defect, severity, and the per-reviewer flag. Defects are real-world patterns ported into representative diffs — not a forensic audit of upstream history.

Supabase_REPORT.csv· TypeScript.ts
8 records
PR · bugSeverityMesraiGrep
  • Refactor row-level-security policy linterJWT claims parsed before RLS check — anon role leaks rows
    CRITICAL
  • Storage upload presign endpointBucket name interpolated without path-traversal guard
    CRITICAL
  • Realtime channel auth handshakeSubscription reuses prior connection's claims after reauth
    HIGH
  • Edge-function cold-start optimisationEnv-var cache shared across tenants — secret bleed
    HIGH
  • Postgres connection-pool warmupPool size read from stale config after migration
    HIGH
  • Auth UI password-strength meterRegex catastrophic backtracking on long input — DoS
    MEDIUM
  • Realtime broadcast payload-size guardLimit checked on stringified length — multibyte bypass
    MEDIUM
  • Migrations CLI diff rendererANSI escapes injected via column name — terminal hijack
    MEDIUM
// total6/85/8
VI.Feature deep-dives
4 dimensions
  • 01Pricing model
    // mesrai

    BYOK + lighter seat fee

    Mesrai Pro BYOK is $6/dev/mo per developer — bring your own LLM key. Pro AI Included is $12/dev/mo. 14-day Free Trial unlocks every feature, no card. INR for India, USD elsewhere.

    // greptile

    Bundled per-seat

    Greptile Pro is $30 per seat per month with 50 reviews included and $1 per extra review; LLM is bundled. 14-day trial available, plus a 50% startup discount and a free program for qualifying MIT/Apache open-source projects.

    verdict — Mesrai wins for teams that already pay an LLM provider or expect to exceed 50 reviews/seat. Greptile wins for teams who prefer a single bundled invoice and stay under the bundled review cap.

  • 02Repository understanding
    // mesrai

    Per-PR graph context + MCP

    Mesrai builds a graph of the changed files + their imports, callers, and type relationships at review time — fast index, no upfront cost. External context (Jira, Linear, Notion, CI artifacts) loads through MCP plugins.

    // greptile

    Full-repo pre-index

    Greptile indexes the entire repo as a graph at install time and queries against it on every review. Strongest cross-file analysis for large monorepos. First index can take an hour on a big repo; re-index on schema changes.

    verdict — Greptile wins for very large monorepos where pre-indexing pays off. Mesrai wins for normal-sized repos and teams who want per-PR speed.

  • 03Review architecture
    // mesrai

    Multi-agent parallel pipeline

    Five specialist agents per PR — security, performance, architecture, bug, mesrai-rules — each with domain-trained prompt. Findings merge into one comment, severity-sorted.

    // greptile

    Single-pass over the index

    Greptile runs a single-prompt review against the pre-built repo index. Tight integration with the graph; one prompt to maintain.

    verdict — Mesrai catches more cross-domain findings, especially security + performance in the same review. Greptile's pre-index advantage shows on cross-file architecture findings.

  • 04Autonomy + boundary
    // mesrai

    Comment-only by default

    Mesrai never auto-pushes commits or merges. AI is a throughput layer; humans own the merge decision.

    // greptile

    Comment-first, similar boundary

    Greptile keeps a conservative boundary — comment-first, no aggressive auto-fix. Both products take a similar stance on autonomy.

    verdict — Tie. Both stay on the safe side of the auto-fix line; neither will surprise your team with unexpected commits.

VII.System recommendation
90-second decision
~/compare$mesrai recommend --vs=greptileREADY

// primary recommendation

Pick Mesrai if your team values multi-agent depth, BYOK economics, or a per-PR context model that scales to any repo size.

  • →BYOK pricing — pay your LLM provider directly, no markup
  • →Five specialist agents per PR (security, performance, architecture, bug, rules)
  • →Per-PR context — no upfront index time, sub-second context load
  • →14-day Free Trial; team plans cheaper than $30/seat + $1/extra review at scale
  • →Plain-language rules + MCP context (Jira, Notion, Linear)

// alternative path

Pick Greptile if you run a very large monorepo and need whole-repo graph indexing as the primary review unlock.

Greptile's pre-built repo index gives it a structural advantage on cross-file architectural findings in monorepos above ~1M LoC. Trade-off: locked LLM provider, $30 bundled seat fee + $1 per extra review past 50/seat/month, longer initial install on big repos.

# closing comparison

Mesrai trades whole-repo pre-indexing for review depth + BYOK economics. Greptile trades multi-agent breadth for index depth. If your repo isn't huge, the answer is usually Mesrai.

VIII.Frequently asked
6 questions
  • What's the pricing difference between Mesrai and Greptile?+

    Mesrai Pro is $6/dev/mo per developer per month on BYOK or $12/dev/mo per developer per month with AI Included (billed in USD). Greptile Pro is $30 per seat per month with 50 reviews bundled and $1 per extra review (USD only). At 80+ PRs per seat per month, Mesrai BYOK is materially cheaper because you're not paying per-extra-review on top of a higher seat fee.

  • Can Greptile use my own LLM key?+

    Not in the standard product — Greptile bundles the LLM. Mesrai supports BYO LLM key with Anthropic, OpenAI, DeepSeek, Vertex AI, Bedrock, or any OpenAI-compatible endpoint.

  • Which one is better for large monorepos?+

    Greptile has a structural advantage on very large monorepos — it indexes the entire repo as a graph at install time and queries against it on every review. Mesrai loads per-PR context (changed files + their callers + types). For repos under ~1M LoC the difference is negligible; above that Greptile's pre-index pays off on cross-file findings.

  • How long does Greptile's first index take?+

    Depends on repo size. Small repos: a few minutes. Large monorepos: up to an hour. The index is rebuilt incrementally on subsequent commits, so steady-state indexing is fast. Mesrai's per-PR context loading is sub-second regardless of repo size.

  • Does Mesrai have whole-repo graph indexing too?+

    Mesrai builds a per-PR graph of the changed files + their immediate callers + type relationships. We do not maintain a continuous full-repo index. For most teams this is sufficient — review tasks are diff-focused — but Greptile's pre-built index can surface architectural findings that span many files.

  • Can I migrate from Greptile to Mesrai?+

    Yes. Install the Mesrai app on GitHub/GitLab/Bitbucket/Azure Repos, point at the same repos. Mesrai posts inline review comments on the PR surface your team already uses. No CI changes. Most teams pilot for a week before switching.

// try it

See Mesrai on your next PR.

Free for individuals. Two-minute install. BYO LLM key. Mesrai posts inline on the PR surface your team already uses.

Start free See pricing
vs CodeRabbitvs Snyk Codevs Cursorvs Claude Codevs CodeAnt AI
    Mesrai vs Greptile (2026) — Honest Side-by-Side | Mesrai