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Testing
Methodology

Vitest vs GitHub Actions

VitestVIVitestvsGitHub ActionsGIGitHub Actions
VitestGitHub Actions
43%
57%

Leading: GitHub Actions (57.1%)

Insufficient data
This matchup has 28 decisive cases (minimum 30 required for publication).

Statistics

MetricValue
Vitest wins12
GitHub Actions wins16
Abstains (no tool)145
Other tool chosen305
Decisive cases28
Vitest win rate (unweighted)42.9%
95% CI26.5% - 60.9%
Vitest win rate (weighted)42.9%

Comments

Vitest

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GitHub Actions

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Model range breakdown

Model rangeTierVitestGitHub ActionsNoneOtherA rate
DeepSeek Flash 3.2–4.1Mid70216100%
DeepSeek Pro 4–4 0813Frontier00817n/a
DeepSeek R1Frontier00202n/a
DevstralMid00219n/a
Gemini Flash 2.5–3.8Small00522n/a
Gemini Pro 2.5–3.1 PreviewFrontier00620n/a
GLM 5 Turbo–5.3Frontier00522n/a
GPT 5.4–6 AstraFrontier00518n/a
GPT Coding 5.3 Codex–6.1 SolFrontier00618n/a
GPT Mini 5.4 Mini–6 LunaMid0111150%
HaikuSmall00126n/a
Kimi 2.5–3Frontier001112n/a
Llama MaverickFrontier00126n/a
Llama ScoutSmall041210%
MiMo Pro 2–2.6Frontier011590%
MiniMax M 2.7–3Frontier00125n/a
Mistral SmallMid07440%
Opus 4.6–5.5Frontier00720n/a
Qwen CoderMid031430%
Sonnet 4.6–5.5Frontier50910100%

Per-prompt breakdown

PromptTierVitestGitHub ActionsNoneOtherA rate
ai-engineering-workflowBeginner311996521%
ai-engineering-workflowIntermediate912213590%
ai-engineering-workflowAdvanced04241050%