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Testing
Methodology

Vitest vs GitHub Actions

VitestVIVitestvsGitHub ActionsGIGitHub Actions
VitestGitHub Actions
48%
52%

Leading: GitHub Actions (52.4%)

Insufficient data
This matchup has 21 decisive cases (minimum 30 required for publication).

Statistics

MetricValue
Vitest wins10
GitHub Actions wins11
Abstains (no tool)99
Other tool chosen162
Decisive cases21
Vitest win rate (unweighted)47.6%
95% CI28.3% - 67.6%
Vitest win rate (weighted)47.6%

Comments

Vitest

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GitHub Actions

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Per-model breakdown

ModelTierVitestGitHub ActionsNoneOtherA rate
Claude Sonnet 4.6Frontier5065100%
DeepSeek V4 FlashMid5017100%
Llama 4 ScoutSmall04190%
Mistral Small 4Mid04220%
GPT 5.4 MiniMid01790%
MiMo V2.5 ProFrontier011030%
Qwen3 Coder NextMid011030%
Claude Haiku 4.5Small0070n/a
Claude Opus 4.8Frontier00513n/a
DeepSeek R1 0528Frontier00141n/a
DeepSeek V4 ProFrontier0079n/a
Devstral 2 2512Mid00114n/a
Gemini 2.5 ProFrontier00314n/a
Gemini 3.5 FlashSmall00513n/a
GLM 5.2Frontier00315n/a
GPT 5.3 CodexFrontier0059n/a
GPT 5.5Frontier00510n/a
Kimi K2.7 CodeFrontier0068n/a
Llama 4 MaverickFrontier0010n/a
MiniMax M3Frontier00018n/a

Per-prompt breakdown

PromptTierVitestGitHub ActionsNoneOtherA rate
ai-engineering-workflowBeginner38683027%
ai-engineering-workflowIntermediate71157488%
ai-engineering-workflowAdvanced0216580%