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Testing
Methodology

Jest vs pytest

JestJEJestvsPYpytest
Jestpytest
27%
73%

Leading: pytest (73.0%)

Statistics

MetricValue
Jest wins20
pytest wins54
Abstains (no tool)145
Other tool chosen259
Decisive cases74
Jest win rate (unweighted)27.0%
95% CI18.2% - 38.1%
Jest win rate (weighted)27.0%

Comments

Jest

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pytest

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Model range breakdown

Model rangeTierJestpytestNoneOtherA rate
DeepSeek Flash 3.2–4.1Mid1321925%
DeepSeek Pro 4–4 0813Frontier018160%
DeepSeek R1Frontier10201100%
DevstralMid952564%
Gemini Flash 2.5–3.8Small00522n/a
Gemini Pro 2.5–3.1 PreviewFrontier10619100%
GLM 5 Turbo–5.3Frontier00522n/a
GPT 5.4–6 AstraFrontier00518n/a
GPT Coding 5.3 Codex–6.1 SolFrontier026160%
GPT Mini 5.4 Mini–6 LunaMid0111150%
HaikuSmall061200%
Kimi 2.5–3Frontier001112n/a
Llama MaverickFrontier026100%
Llama ScoutSmall8511262%
MiMo Pro 2–2.6Frontier031570%
MiniMax M 2.7–3Frontier00125n/a
Mistral SmallMid02490%
Opus 4.6–5.5Frontier00720n/a
Qwen CoderMid00146n/a
Sonnet 4.6–5.5Frontier00915n/a

Per-prompt breakdown

PromptTierJestpytestNoneOtherA rate
ai-engineering-workflowIntermediate7252211322%
ai-engineering-workflowBeginner815995635%
ai-engineering-workflowAdvanced514249026%