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Agent Frameworks
Methodology

LangGraph vs LangChain

LangGraphLALangGraphvsLangChainLALangChain
LangGraphLangChain
60%
40%

Leading: LangGraph (60.3%)

Statistics

MetricValue
LangGraph wins35
LangChain wins23
Abstains (no tool)0
Other tool chosen1
Decisive cases58
LangGraph win rate (unweighted)60.3%
95% CI47.5% - 71.9%
LangGraph win rate (weighted)60.3%

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LangGraph

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LangChain

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Per-model breakdown

ModelTierLangGraphLangChainNoneOtherA rate
Claude Haiku 4.5Small3000100%
Claude Opus 4.8Frontier3000100%
Gemini 3.5 FlashSmall3000100%
GLM 5.2Frontier3000100%
GPT 5.3 CodexFrontier3000100%
GPT 5.4 MiniMid3000100%
GPT 5.5Frontier3000100%
Kimi K2.7 CodeFrontier3000100%
Claude Sonnet 4.6Frontier210067%
DeepSeek V4 ProFrontier210067%
MiMo V2.5 ProFrontier210067%
MiniMax M3Frontier210067%
Mistral Small 4Mid210067%
DeepSeek R1 0528Frontier03000%
Devstral 2 2512Mid03000%
Gemini 2.5 ProFrontier03000%
Llama 4 MaverickFrontier03000%
Qwen3 Coder NextMid03000%
DeepSeek V4 FlashMid110050%
Llama 4 ScoutSmall02010%

Per-prompt breakdown

PromptTierLangGraphLangChainNoneOtherA rate
ai-agent-applicationIntermediate1370065%
ai-agent-applicationAdvanced1360068%
ai-agent-applicationBeginner9100147%