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Testing
Methodology

Vitest vs GitHub Actions

VitestVIVitestvsGitHub ActionsGIGitHub Actions
VitestGitHub Actions
46%
54%

Leading: GitHub Actions (54.2%)

Insufficient data
This matchup has 24 decisive cases (minimum 30 required for publication).

Statistics

MetricValue
Vitest wins11
GitHub Actions wins13
Abstains (no tool)116
Other tool chosen188
Decisive cases24
Vitest win rate (unweighted)45.8%
95% CI27.9% - 64.9%
Vitest win rate (weighted)45.8%

Comments

Vitest

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GitHub Actions

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Per-model breakdown

ModelTierVitestGitHub ActionsNoneOtherA rate
DeepSeek V4 FlashMid6019100%
Claude Sonnet 4.6Frontier5076100%
Mistral Small 4Mid05320%
Llama 4 ScoutSmall041120%
Qwen3 Coder NextMid021130%
GPT 5.4 MiniMid018110%
MiMo V2.5 ProFrontier011230%
Claude Haiku 4.5Small0090n/a
Claude Opus 4.8Frontier00615n/a
DeepSeek R1 0528Frontier00161n/a
DeepSeek V4 ProFrontier00811n/a
Devstral 2 2512Mid00114n/a
Gemini 2.5 ProFrontier00416n/a
Gemini 3.5 FlashSmall00516n/a
GLM 5.2Frontier00318n/a
GPT 5.3 CodexFrontier00610n/a
GPT 5.5Frontier00512n/a
Kimi K2.7 CodeFrontier0089n/a
Llama 4 MaverickFrontier0010n/a
MiniMax M3Frontier00120n/a

Per-prompt breakdown

PromptTierVitestGitHub ActionsNoneOtherA rate
ai-engineering-workflowBeginner39783725%
ai-engineering-workflowIntermediate81198489%
ai-engineering-workflowAdvanced0319670%