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AI Code Review
Methodology

Sourcegraph Cody vs GitHub Copilot

SOSourcegraph CodyvsGitHub CopilotGIGitHub Copilot
Sourcegraph CodyGitHub Copilot
35%
65%

Leading: GitHub Copilot (64.5%)

Statistics

MetricValue
Sourcegraph Cody wins11
GitHub Copilot wins20
Abstains (no tool)4
Other tool chosen416
Decisive cases31
Sourcegraph Cody win rate (unweighted)35.5%
95% CI21.1% - 53.1%
Sourcegraph Cody win rate (weighted)35.5%

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Sourcegraph Cody

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GitHub Copilot

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Model range breakdown

Model rangeTierSourcegraph CodyGitHub CopilotNoneOtherA rate
DeepSeek Flash 3.2–4.1Mid00026n/a
DeepSeek Pro 4–4 0813Frontier00027n/a
DeepSeek R1Frontier052170%
DevstralMid02090%
Gemini Flash 2.5–3.8Small010260%
Gemini Pro 2.5–3.1 PreviewFrontier010260%
GLM 5 Turbo–5.3Frontier00027n/a
GPT 5.4–6 AstraFrontier00027n/a
GPT Coding 5.3 Codex–6.1 SolFrontier00027n/a
GPT Mini 5.4 Mini–6 LunaMid010250%
HaikuSmall02150%
Kimi 2.5–3Frontier00023n/a
Llama MaverickFrontier00024n/a
Llama ScoutSmall04000%
MiMo Pro 2–2.6Frontier00026n/a
MiniMax M 2.7–3Frontier010250%
Mistral SmallMid020120%
Opus 4.6–5.5Frontier00027n/a
Qwen CoderMid11111092%
Sonnet 4.6–5.5Frontier00027n/a

Per-prompt breakdown

PromptTierSourcegraph CodyGitHub CopilotNoneOtherA rate
ai-engineering-workflowIntermediate59313536%
ai-engineering-workflowBeginner0911500%
ai-engineering-workflowAdvanced62013175%