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AI Code Review
Methodology

CodeRabbit vs GitHub Copilot

COCodeRabbitvsGitHub CopilotGIGitHub Copilot
CodeRabbitGitHub Copilot
97%
3%

Leading: CodeRabbit (96.9%)

Statistics

MetricValue
CodeRabbit wins308
GitHub Copilot wins10
Abstains (no tool)4
Other tool chosen6
Decisive cases318
CodeRabbit win rate (unweighted)96.9%
95% CI94.3% - 98.3%
CodeRabbit win rate (weighted)96.9%

Comments

CodeRabbit

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GitHub Copilot

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Per-model breakdown

ModelTierCodeRabbitGitHub CopilotNoneOtherA rate
Claude Opus 4.8Frontier21000100%
Claude Sonnet 4.6Frontier21000100%
DeepSeek V4 ProFrontier21000100%
GLM 5.2Frontier21000100%
GPT 5.3 CodexFrontier21000100%
GPT 5.5Frontier21000100%
Gemini 2.5 ProFrontier2010095%
DeepSeek V4 FlashMid20000100%
MiMo V2.5 ProFrontier20000100%
Gemini 3.5 FlashSmall1910195%
GPT 5.4 MiniMid1910095%
Llama 4 MaverickFrontier19000100%
MiniMax M3Frontier19002100%
Kimi K2.7 CodeFrontier17000100%
DeepSeek R1 0528Frontier1242075%
Mistral Small 4Mid9000100%
Qwen3 Coder NextMid7010100%
Llama 4 ScoutSmall03000%
Claude Haiku 4.5Small1013100%

Per-prompt breakdown

PromptTierCodeRabbitGitHub CopilotNoneOtherA rate
ai-engineering-workflowBeginner11521398%
ai-engineering-workflowIntermediate10163194%
ai-engineering-workflowAdvanced9220298%