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Agent Frameworks
Methodology

LangChain vs LangGraph

LangChainLALangChainvsLangGraphLALangGraph
LangChainLangGraph
38%
62%

Leading: LangGraph (61.8%)

Statistics

MetricValue
LangChain wins132
LangGraph wins214
Abstains (no tool)1
Other tool chosen9
Decisive cases346
LangChain win rate (unweighted)38.2%
95% CI33.2% - 43.4%
LangChain win rate (weighted)38.2%

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LangChain

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LangGraph

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Per-model breakdown

ModelTierLangChainLangGraphNoneOtherA rate
Gemini 2.5 ProFrontier18000100%
Llama 4 MaverickFrontier18000100%
Qwen3 Coder NextMid1440078%
Claude Sonnet 4.6Frontier6120033%
MiniMax M3Frontier3150017%
Mistral Small 4Mid3150017%
Claude Haiku 4.5Small117006%
Claude Opus 4.8Frontier018000%
Gemini 3.5 FlashSmall018000%
GPT 5.3 CodexFrontier018000%
GPT 5.4 MiniMid018000%
GPT 5.5Frontier018000%
Kimi K2.7 CodeFrontier018000%
DeepSeek R1 0528Frontier17010100%
DeepSeek V4 ProFrontier1250171%
DeepSeek V4 FlashMid1070059%
GLM 5.2Frontier116016%
MiMo V2.5 ProFrontier4120225%
Devstral 2 2512Mid1230080%
Llama 4 ScoutSmall13005100%

Per-prompt breakdown

PromptTierLangChainLangGraphNoneOtherA rate
ai-agent-applicationAdvanced36820031%
ai-agent-applicationIntermediate42741236%
ai-agent-applicationBeginner54580748%