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Agent Frameworks
Methodology

CrewAI vs AutoGen

CRCrewAIvsAUAutoGen
CrewAIAutoGen
33%
67%

Leading: AutoGen (66.7%)

Insufficient data
This matchup has 3 decisive cases (minimum 30 required for publication).

Statistics

MetricValue
CrewAI wins1
AutoGen wins2
Abstains (no tool)1
Other tool chosen529
Decisive cases3
CrewAI win rate (unweighted)33.3%
95% CI6.1% - 79.2%
CrewAI win rate (weighted)33.3%

Comments

CrewAI

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AutoGen

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Model range breakdown

Model rangeTierCrewAIAutoGenNoneOtherA rate
DeepSeek Flash 3.2–4.1Mid00026n/a
DeepSeek Pro 4–4 0813Frontier10026100%
DeepSeek R1Frontier00126n/a
DevstralMid00021n/a
Gemini Flash 2.5–3.8Small00027n/a
Gemini Pro 2.5–3.1 PreviewFrontier00027n/a
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 LunaMid00027n/a
HaikuSmall00027n/a
Kimi 2.5–3Frontier00027n/a
Llama MaverickFrontier00027n/a
Llama ScoutSmall020250%
MiMo Pro 2–2.6Frontier00027n/a
MiniMax M 2.7–3Frontier00027n/a
Mistral SmallMid00027n/a
Opus 4.6–5.5Frontier00027n/a
Qwen CoderMid00027n/a
Sonnet 4.6–5.5Frontier00027n/a

Per-prompt breakdown

PromptTierCrewAIAutoGenNoneOtherA rate
ai-agent-applicationIntermediate11117550%
ai-agent-applicationAdvanced0101760%
ai-agent-applicationBeginner000178n/a