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Agent Frameworks
Methodology

CrewAI vs AutoGen

CRCrewAIvsAUAutoGen
CrewAIAutoGen
50%
50%
Insufficient data
This matchup has 2 decisive cases (minimum 30 required for publication).

Statistics

MetricValue
CrewAI wins1
AutoGen wins1
Abstains (no tool)1
Other tool chosen296
Decisive cases2
CrewAI win rate (unweighted)50.0%
95% CI9.5% - 90.5%
CrewAI win rate (weighted)50.0%

Comments

CrewAI

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AutoGen

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Per-model breakdown

ModelTierCrewAIAutoGenNoneOtherA rate
DeepSeek V4 ProFrontier10014100%
Llama 4 ScoutSmall010140%
Claude Haiku 4.5Small00015n/a
Claude Opus 4.8Frontier00015n/a
Claude Sonnet 4.6Frontier00015n/a
DeepSeek R1 0528Frontier00114n/a
DeepSeek V4 FlashMid00014n/a
Devstral 2 2512Mid00015n/a
Gemini 2.5 ProFrontier00015n/a
Gemini 3.5 FlashSmall00015n/a
GLM 5.2Frontier00015n/a
GPT 5.3 CodexFrontier00015n/a
GPT 5.4 MiniMid00015n/a
GPT 5.5Frontier00015n/a
Kimi K2.7 CodeFrontier00015n/a
Llama 4 MaverickFrontier00015n/a
MiMo V2.5 ProFrontier00015n/a
MiniMax M3Frontier00015n/a
Mistral Small 4Mid00015n/a
Qwen3 Coder NextMid00015n/a

Per-prompt breakdown

PromptTierCrewAIAutoGenNoneOtherA rate
ai-agent-applicationIntermediate1119750%
ai-agent-applicationAdvanced00099n/a
ai-agent-applicationBeginner000100n/a