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CodeRabbit vs OpenCode

Bottom line

CodeRabbit has a free plan plus paid upgrades, while OpenCode is free. OpenCode is open source and CodeRabbit is not.

Which one should you try?

CodeRabbit

Freemium

Best for Development teams using GitHub, GitLab, or Azure DevOps workflows

Visit CodeRabbit See full review

OpenCode

Free

Best for Developers who want an open-source coding agent in the terminal

Visit OpenCode See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

CodeRabbit

CodeRabbit

CodeRabbit sits inside your pull request workflow on GitHub, GitLab, or Azure DevOps and runs automated analysis before a human reviewer touches the diff. It runs 40+ linters and security scanners, summarizes the diff with an architectural diagram, and lets engineers reply to its comments directly to refine future behavior. The agent learns from feedback you leave in natural language, so reviews drift toward your team's actual standards rather than generic rules. The ceiling appears when your policies are complex enough to need deterministic enforcement — the YAML customization covers a lot of ground, but teams with strict compliance gates will eventually need to validate whether the agent's judgment matches their audit requirements.

OpenCode

OpenCode

OpenCode is an MIT-licensed AI coding agent for the terminal that works with the model provider you choose, including local models. We installed it and ran three agent tasks: 9 of 9 passed with Claude Opus 5.5, 3 of 9 with a 3B local model.

AttributeCodeRabbitOpenCode
PricingFreemiumFree
Price$24/mo/userFree (MIT). Optional Zen models pay as you go; Go $10/mo, Go Plus $40/mo
Pricing checkedJun 11, 2026Oct 19, 2026
Free trial14 daysNot stated
Open sourceNoYes
Has APIYesYes
Self-hosted optionYesYes
PlatformsCloud SaaS, Self-hosted (Docker), GitHub, GitLab, Azure DevOps, Bitbucket, GitHub Enterprise ServerTerminal, Desktop (beta macOS/Windows/Linux), IDE extension
Released2023—
Pros
  • Codegraph-based cross-file dependency analysis, so the tool flags when a change breaks something three files away — not just whether the diff itself is syntactically valid.
  • 40+ linters and SAST scanners run on every PR with built-in false-positive filtering, which means security issues surface without burying engineers in noise they learn to ignore.
  • Natural-language feedback loop trains future reviews toward your team's actual standards, so the review bar stops depending on which engineer is available that day.
  • One-click fix commits and a 'Fix with AI' path for harder issues, so the gap between 'flagged' and 'resolved' shrinks without a separate tool change.
  • Self-hosted deployment via Docker containers for organizations with data-residency requirements, so the code never leaves your infrastructure even during analysis.
  • Passed all 9 of our agent tasks with Claude Opus 5.5.
  • Works with the provider you choose, including a local model behind an OpenAI-compatible server.
  • Open source under the MIT license.
Cons
  • The learning mechanism that improves reviews over time is also a drift risk: teams with strict compliance requirements — SOC 2 controls, regulated industries — cannot easily prove that agent-adjusted review behavior still matches their documented control objectives. Those teams add a separate, static rule enforcement layer and now run two systems.
  • Self-hosting is available only at enterprise scale, which means smaller teams with data-residency concerns either accept the cloud-hosted path or move to a competitor with a lower headcount threshold for on-premise deployment.
  • Complex custom policy enforcement beyond YAML configuration has no deterministic fallback — when the agent's natural-language-trained judgment diverges from what a security team requires, there is no rule-engine mode to lock behavior down, which is the condition under which teams auditing for hard compliance gates switch to dedicated SAST platforms with explicit, version-controlled rulesets.
  • With a 3B local model it passed 3 of 9 tasks (only the simplest one), so plan on a larger model.
  • It reaches out to models.opencode.ai and registry.npmjs.org, and downloads provider packages on first use, so offline setups need those pre-installed.
  • The vendor lists its desktop app as beta.

Made up your mind?

CodeRabbit

Freemium

Best for Development teams using GitHub, GitLab, or Azure DevOps workflows

Visit CodeRabbit See full review

OpenCode

Free

Best for Developers who want an open-source coding agent in the terminal

Visit OpenCode See full review

Related comparisons

Free trials & curated lists

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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