In one line: people searching Open Code Review pricing often hit the same wall — no $19/seat price page on the official site, yet GitHub says open-source & free, which is nothing like CodeRabbit or Copilot billing. Below we separate three easily confused products, then cover software vs inference pricing, Apache 2.0 commercial use, whether an Enterprise tier exists, and a comparison table against mainstream SaaS review tools — so you know exactly which layer is actually free.
Three “Open Code” products — don’t price the wrong one
As of 2026, at least three similarly named tools exist with completely different pricing pages:
| Product | Repo / command | License | Pricing model |
|---|---|---|---|
| Open Code Review (this article) | alibaba/open-code-review · CLI ocr |
Apache 2.0 | Free software; LLM BYOK; no official SaaS price list |
| OpenCode (often confused) | anomalyco/opencode | MIT | Core free; optional Zen (PAYG), Go (~$10/mo), Black (enterprise gateway) |
| GitHub Marketplace “Open Code Review” Action | Third-party CI Action | Some versions BSL, etc. | Not Alibaba OCR; read that Action’s license terms |
When you Google Open Code Review pricing, you want Alibaba’s tool: an AI code-review Agent incubated inside Alibaba Group, open-sourced in May 2026, npm package @alibaba-group/open-code-review, site open-codereview.ai. Below, “OCR” means this product.
Don’t mix in OpenCode Zen / Go plans
OpenCode’s $10/mo Go tier is a coding Agent model gateway — it does not include Alibaba OCR’s review ruleset or line-level positioning. The two bills cannot be combined into one estimate.
Two price layers: free software, inference not always free
OCR’s model in two sentences:
- Software layer: CLI, review rules, Agent orchestration, GitHub / GitLab integration — zero subscription, zero per-seat fee, install via npm.
- Inference layer: every
ocr reviewcalls your configured LLM (Anthropic, OpenAI, DashScope, DeepSeek, private endpoint, etc.) — token fees go to the model provider.
Unlike CodeRabbit (per-seat SaaS) or GitHub Copilot ($10–39/mo subscription), OCR does not sell a “review capability subscription” — it ships open tooling; capability comes from the model you attach.
Official site reference: on the same benchmark tasks, OCR vs Claude Code’s /code-review, token cost is about 1/9 (marketing comparison at ~1,000 PR scale). Not a billing guarantee, but it reflects hybrid architecture (deterministic pipeline + Agent) optimizing token budget — large diffs aren’t blindly dumped into the model.
Delegation mode
If your team already pays for Copilot or Claude Code, OCR can keep file filtering and rule routing local while delegating the actual review to that Agent’s model — no extra API key bill. Try this path first when evaluating OCR.
Apache 2.0: can companies use it commercially?
Yes. Alibaba OCR is released under Apache License 2.0; the npm package is Apache-2.0 too. For enterprises:
| Right | What it means |
|---|---|
| Commercial use | Production CI and internal platforms — no commercial license purchase required |
| Modify & distribute | Fork, customize rules, redistribute (keep copyright notices and LICENSE) |
| Patent grant | Apache 2.0 includes an express patent license (clearer than MIT alone) |
| No “open core” trap | As of Aug 2026, no official “free community + paid enterprise features” product line observed |
Compliance is still your job: whether code leaves your network (public cloud APIs), NOTICE file retention, supply-chain audit of forks. The license answers “can we use it?” — not “can data leave the intranet?” (that needs self-hosted models or private endpoints).
“Enterprise edition”? vs SaaS Enterprise plans
As of August 2026, Alibaba has not published an official hosted SaaS price list for Open Code Review — no public Enterprise $XXX/mo page, no standard “contact sales” SKU, no CodeRabbit-style hosted console pricing.
“Enterprise” for OCR usually means self-deployed, not paying extra software license fees:
| Dimension | OCR self-hosted | Typical SaaS Enterprise (CodeRabbit, etc.) |
|---|---|---|
| Software license | $0 (Apache 2.0) | Per-seat monthly + enterprise uplift |
| Data residency | Code and diffs can stay 100% on-prem / self-hosted Runner | Vendor cloud; private deploy only on Enterprise deals |
| SLA / support | Community + your ops; no official 24/7 ticket queue | Contracts include SLA and customer success |
| SSO / audit console | Wire your own IdP and logging | Built into vendor console |
| Rules & policy | Edit built-in rules, plug internal standards | Console config; customization depth varies by contract |
Bottom line: OCR has no “buy Enterprise to unlock features” tier. Enterprise spend is mainly engineering integration, GPU/API inference, compliance, and ops — trading for data sovereignty and customizable rules, not another vendor line item.
Estimating real bills: PR volume × model price
Because OCR doesn’t sell tokens, monthly cost is roughly:
Monthly cost ≈ (PRs reviewed per month × average tokens per PR) × model unit price
Benchmark-reported token scale per review (varies by model — reference only):
| Model (OCR benchmark) | ~tokens per review (in+out) | ~time |
|---|---|---|
| Claude Opus 4.6 class | ~385K | ~1m23s |
| GPT-5.5 class | ~422K | ~2m51s |
| DeepSeek V4 Pro | ~394K | ~6m28s |
| Qwen3.7 Max | ~625K | ~4m41s |
Rough examples (not guaranteed prices — use your account rates):
- 200 PRs/month, ~400K tokens each, Flash-class model (~$0.10/M input, ~$0.30/M output) → inference roughly $30–80/month
- Same 200 PRs, all Opus-class → possibly hundreds/month, near or above CodeRabbit seat fees for a small team
- 10-person team CodeRabbit Pro $24×10 = $240/month is a fixed ceiling; OCR is usage-driven — cheaper when PRs are few and models are cheap; more expensive at scale with premium models
Routing strategy: see OpenRouter cheap-model selection — daily PRs on Flash / DeepSeek, escalate security diffs to Sonnet. OCR’s rule routing and file splitting make tiering practical.
Hidden costs of “free” self-hosted software
$0 software ≠ $0 TCO. Common enterprise add-ons:
| Cost item | Notes |
|---|---|
| CI Runner compute | Self-hosted GitHub Actions or GitLab CI; parallel reviews on large monorepos eat CPU/RAM |
| Private LLM endpoint | On-prem vLLM / private Qwen → GPU host or Cloud Mac / cloud GPU monthly |
| Engineering integration | PR comment bot, SARIF output, merge with existing review workflow |
| Maintenance | OCR version upgrades, rule set changes, security patches |
If you already run self-hosted CI + Agent, OCR is often one more Action — marginal cost is mostly tokens. Building a review pipeline from zero adds initial integration labor.
AI code review tool pricing comparison (2026)
| Tool | List price (approx.) | Open source | Self-host | Default data path |
|---|---|---|---|---|
| Open Code Review | Software $0; inference BYOK | ✅ Apache 2.0 | ✅ | Can be 100% local |
| CodeRabbit | ~$24/seat/month | ❌ | Enterprise deals | Vendor cloud |
| GitHub Copilot | ~$10–39/mo (individual/business) | ❌ | ❌ | GitHub cloud |
| Claude Code Review | ~$15–25/PR scale (usage-based) | ❌ | ❌ | Anthropic cloud |
| Cursor Bugbot, etc. | Subscription + usage | ❌ | ❌ | Vendor cloud |
OCR’s edge isn’t “cheaper SaaS” — it’s auditable open stack + line-level rules + optional full offline. For finance, government, and large intranets, that often beats saving $5/seat.
One-line picker
Fastest launch, no infra → SaaS (CodeRabbit / Copilot). Code must stay on-prem, rules forkable → OCR self-host + private model. Zero API bill → OCR delegation + existing Copilot / Claude Code subscription.
Who should use it — who can skip it
| Scenario | Recommendation |
|---|---|
| Individual dev, small OSS repo | npm install OCR + DeepSeek / cheap Qwen endpoint — very low cost |
| Already on Copilot Business / Claude Team | Try delegation first; decide on separate API after quality check |
| Compliance: code cannot leave jurisdiction | Self-hosted Runner + intranet model — OCR beats SaaS |
| <10 people, no hard compliance | Run TCO: OCR often wins on low PR volume; SaaS wins if you won’t maintain CI |
| IDE completion only, no PR review | OCR isn’t a substitute — keep Copilot / Cursor |
Quick start: does the “free tier” fit you?
# Global CLI install npm i -g @alibaba-group/open-code-review # Interactive LLM setup (Anthropic / OpenAI / DashScope / DeepSeek, etc.) ocr config provider # Review current workspace changes ocr review # Review branch diff ocr review --from main --to feature-auth
Run 5–10 real PRs, log token usage and false-positive rate, then compare against CodeRabbit trial seat fees — data beats the word “free” on a landing page.
FAQ
Is Open Code Review completely free?
Software is free (Apache 2.0, no subscription). Reviews need LLM tokens billed by your provider; delegation mode can reuse an existing Agent subscription.
Is there an Enterprise pricing page?
As of August 2026, no official SaaS / Enterprise public price list; enterprise shape is self-host + self-managed inference and compliance.
Do we pay Alibaba for commercial Apache 2.0 use?
No commercial license purchase required; keep LICENSE / NOTICE and handle data compliance yourself.
Same as OpenCode Go $10/mo?
No. OpenCode is a coding Agent product; OCR is a review CLI — separate pricing.
Cheaper than CodeRabbit?
Often yes at moderate PR volume with cheap models; can cost more at scale on top-tier models — but data can stay on-prem.
Which platforms?
CLI locally; CI on GitHub and GitLab; SARIF and other outputs for quality gates.
Self-hosted OCR + private models?
Run CI reviews on Cloud Mac — code and inference under your control
Dedicated macOS Runners for xcodebuild; wire OCR to intranet or low-cost APIs and keep the review pipeline auditable.
View Cloud Mac plans