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Agent Frameworks
Methodology

LangGraph vs LangChain

LangGraphLALangGraphvsLangChainLALangChain
LangGraphLangChain
65%
35%

Leading: LangGraph (65.2%)

Statistics

MetricValue
LangGraph wins339
LangChain wins181
Abstains (no tool)1
Other tool chosen12
Decisive cases520
LangGraph win rate (unweighted)65.2%
95% CI61.0% - 69.2%
LangGraph win rate (weighted)65.2%

Comments

LangGraph

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LangChain

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Model range breakdown

Model rangeTierLangGraphLangChainNoneOtherA rate
DeepSeek Flash 3.2–4.1Mid13130050%
DeepSeek Pro 4–4 0813Frontier13130150%
DeepSeek R1Frontier026100%
DevstralMid3180014%
Gemini Flash 2.5–3.8Small27000100%
Gemini Pro 2.5–3.1 PreviewFrontier5220019%
GLM 5 Turbo–5.3Frontier2510196%
GPT 5.4–6 AstraFrontier27000100%
GPT Coding 5.3 Codex–6.1 SolFrontier27000100%
GPT Mini 5.4 Mini–6 LunaMid27000100%
HaikuSmall2610096%
Kimi 2.5–3Frontier27000100%
Llama MaverickFrontier126004%
Llama ScoutSmall019080%
MiMo Pro 2–2.6Frontier2050280%
MiniMax M 2.7–3Frontier2340085%
Mistral SmallMid2250081%
Opus 4.6–5.5Frontier27000100%
Qwen CoderMid6210022%
Sonnet 4.6–5.5Frontier2070074%

Per-prompt breakdown

PromptTierLangGraphLangChainNoneOtherA rate
ai-agent-applicationAdvanced129470173%
ai-agent-applicationIntermediate116591266%
ai-agent-applicationBeginner94750956%