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AI Code Review
Methodology

CodeRabbit vs GitHub Copilot

COCodeRabbitvsGitHub CopilotGIGitHub Copilot
CodeRabbitGitHub Copilot
97%
3%

Leading: CodeRabbit (96.7%)

Statistics

MetricValue
CodeRabbit wins262
GitHub Copilot wins9
Abstains (no tool)3
Other tool chosen5
Decisive cases271
CodeRabbit win rate (unweighted)96.7%
95% CI93.8% - 98.2%
CodeRabbit win rate (weighted)96.7%

Comments

CodeRabbit

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GitHub Copilot

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Per-model breakdown

ModelTierCodeRabbitGitHub CopilotNoneOtherA rate
Claude Opus 4.8Frontier18000100%
Claude Sonnet 4.6Frontier18000100%
DeepSeek V4 ProFrontier18000100%
GLM 5.2Frontier18000100%
GPT 5.3 CodexFrontier18000100%
GPT 5.5Frontier18000100%
Gemini 2.5 ProFrontier1710094%
DeepSeek V4 FlashMid17000100%
MiMo V2.5 ProFrontier17000100%
MiniMax M3Frontier17001100%
Gemini 3.5 FlashSmall1610194%
GPT 5.4 MiniMid1610094%
Llama 4 MaverickFrontier16000100%
Kimi K2.7 CodeFrontier15000100%
DeepSeek R1 0528Frontier1041071%
Mistral Small 4Mid7000100%
Qwen3 Coder NextMid5010100%
Llama 4 ScoutSmall02000%
Claude Haiku 4.5Small1013100%

Per-prompt breakdown

PromptTierCodeRabbitGitHub CopilotNoneOtherA rate
ai-engineering-workflowBeginner9821398%
ai-engineering-workflowIntermediate8552194%
ai-engineering-workflowAdvanced7920198%