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Compare/CodeRabbit vs Mira

CodeRabbitvsMira

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

CodeRabbit
CodeRabbit · Code review agent
#54MCP
Panel
6.6
3 spec wins
Reliability
6.3
Usefulness
7.0
Cost
6.0
Longevity
7.2

“Reviews every pull request for free if the repo is public, so open source finally has a reviewer who shows up.”

Mira
Miracode · Code review agent
#69OSS
Panel
7.0
3 spec wins
Reliability
6.8
Usefulness
6.5
Cost
8.5
Longevity
6.2

“It includes org-wide package search, so you can find every repository that installed the dependency you now regret.”

Spec by spec

SpecCodeRabbitMira
Architecture
CategoryCode review agentCode review agent
Runscloudlocal, cloud
Platformsmacos, linux, windows, weblinux, web
Context windownot documentednot documented
Protocols
MCP clientYesNo
MCP serverNoNo
Capabilities
Runs terminal commandsYesNo
Multi-file editsYesNo
Git operationsYesYes
Browser controlNoReviews and the CLI read code, diffs and connected MCP data only; no browser control or page inspection is documented. No
Sandboxed executionNoSelf-hosted CodeRabbit "ships as a container image that you run in your own environment", which is a deployment option rather than an isolation sandbox for the agent's own execution. No
Multi-agent orchestrationNoNo
Headless / CI modeYesThe CLI authenticates non-interactively with an Agentic API key for headless and bot-driven environments, and `--agent` emits structured JSON for automation. Yes
Models
BackboneOpenAI, AnthropicOpenRouter, Anthropic, OpenAI, Google, DeepSeek, Llama, vLLM, Ollama, Together, Groq, Fireworks, AWS Bedrock
Bring your own modelYesOnly on the self-hosted Enterprise image, which lets you "connect CodeRabbit to your own large language model provider or account"; the SaaS reviewer uses CodeRabbit's own OpenAI and Anthropic access. Yes
Local modelsNoNo custom base URL or local endpoint is documented — provider configuration is shared with Enterprise customers during onboarding rather than published. YesvLLM and Ollama are named among the supported OpenAI-compatible endpoints.
Cost
Pricing modelseatbyok
Starts at$24/mo$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceNoYes
LicenseproprietaryApache-2.0
GitHub starsn/a354

Which one would each critic pick

CriticCodeRabbitMiraPick
El Juez——not enough reviews
El Amigo7.87.3CodeRabbit — CodeRabbit is the PR reviewer I would install today, free on public repos and with a pre-commit CLI that plugs into your coding agent, as long as you treat its comments as a second opinion.
El Crítico6.56.5no preference
El Profesor6.57.0Mira — Review context is drawn from a codebase index rather than the diff alone, which is correct, and no precision or recall figure accompanies it.
La Inversora7.86.3CodeRabbit — Free for public repos is a distribution engine, the $24 to $72 seat ladder is pricing power, and both Git hosts it lives on would rather own it than compete with it.
La Jefa7.07.3Mira — The dashboard reports cost per repository and per model, which is the number finance asks for and no review vendor has ever given me.
El Hacker4.37.8Mira — Apache-2.0, vulnerability scanning included in the self-hosted build, and per-provider quirks kept in config rather than code, so vLLM or Ollama is one line.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.