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Agent Frameworks
Methodology

LangChain vs LangGraph

LangChainLALangChainvsLangGraphLALangGraph
LangChainLangGraph
40%
60%

Leading: LangGraph (60.3%)

Statistics

MetricValue
LangChain wins23
LangGraph wins35
Abstains (no tool)0
Other tool chosen1
Decisive cases58
LangChain win rate (unweighted)39.7%
95% CI28.1% - 52.5%
LangChain win rate (weighted)39.7%

Comments

LangChain

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LangGraph

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Per-model breakdown

ModelTierLangChainLangGraphNoneOtherA rate
DeepSeek R1 0528Frontier3000100%
Devstral 2 2512Mid3000100%
Gemini 2.5 ProFrontier3000100%
Llama 4 MaverickFrontier3000100%
Qwen3 Coder NextMid3000100%
Claude Sonnet 4.6Frontier120033%
DeepSeek V4 ProFrontier120033%
MiMo V2.5 ProFrontier120033%
MiniMax M3Frontier120033%
Mistral Small 4Mid120033%
Claude Haiku 4.5Small03000%
Claude Opus 4.8Frontier03000%
Gemini 3.5 FlashSmall03000%
GLM 5.2Frontier03000%
GPT 5.3 CodexFrontier03000%
GPT 5.4 MiniMid03000%
GPT 5.5Frontier03000%
Kimi K2.7 CodeFrontier03000%
Llama 4 ScoutSmall2001100%
DeepSeek V4 FlashMid110050%

Per-prompt breakdown

PromptTierLangChainLangGraphNoneOtherA rate
ai-agent-applicationIntermediate7130035%
ai-agent-applicationBeginner1090153%
ai-agent-applicationAdvanced6130032%