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AI Code Review
Methodology

CodeRabbit vs GitHub Copilot

COCodeRabbitvsGitHub CopilotGIGitHub Copilot
CodeRabbitGitHub Copilot
96%
4%

Leading: CodeRabbit (95.7%)

Statistics

MetricValue
CodeRabbit wins44
GitHub Copilot wins2
Abstains (no tool)0
Other tool chosen1
Decisive cases46
CodeRabbit win rate (unweighted)95.7%
95% CI85.5% - 98.8%
CodeRabbit win rate (weighted)95.7%

Comments

CodeRabbit

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GitHub Copilot

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Per-model breakdown

ModelTierCodeRabbitGitHub CopilotNoneOtherA rate
Claude Opus 4.8Frontier3000100%
Claude Sonnet 4.6Frontier3000100%
DeepSeek V4 ProFrontier3000100%
Gemini 2.5 ProFrontier3000100%
Gemini 3.5 FlashSmall3000100%
GLM 5.2Frontier3000100%
GPT 5.3 CodexFrontier3000100%
GPT 5.4 MiniMid3000100%
GPT 5.5Frontier3000100%
Llama 4 MaverickFrontier3000100%
MiMo V2.5 ProFrontier3000100%
MiniMax M3Frontier3000100%
DeepSeek R1 0528Frontier210067%
DeepSeek V4 FlashMid2000100%
Kimi K2.7 CodeFrontier2000100%
Mistral Small 4Mid1000100%
Qwen3 Coder NextMid1000100%
Llama 4 ScoutSmall01000%
Claude Haiku 4.5Small0001n/a

Per-prompt breakdown

PromptTierCodeRabbitGitHub CopilotNoneOtherA rate
ai-engineering-workflowBeginner17001100%
ai-engineering-workflowIntermediate1410093%
ai-engineering-workflowAdvanced1310093%