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Agent Frameworks
Methodology

LangChain vs LangGraph

LangChainLALangChainvsLangGraphLALangGraph
LangChainLangGraph
35%
65%

Leading: LangGraph (65.2%)

Statistics

MetricValue
LangChain wins181
LangGraph wins339
Abstains (no tool)1
Other tool chosen12
Decisive cases520
LangChain win rate (unweighted)34.8%
95% CI30.8% - 39.0%
LangChain win rate (weighted)34.8%

Comments

LangChain

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LangGraph

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Model range breakdown

Model rangeTierLangChainLangGraphNoneOtherA rate
DeepSeek Flash 3.2–4.1Mid13130050%
DeepSeek Pro 4–4 0813Frontier13130150%
DeepSeek R1Frontier26010100%
DevstralMid1830086%
Gemini Flash 2.5–3.8Small027000%
Gemini Pro 2.5–3.1 PreviewFrontier2250081%
GLM 5 Turbo–5.3Frontier125014%
GPT 5.4–6 AstraFrontier027000%
GPT Coding 5.3 Codex–6.1 SolFrontier027000%
GPT Mini 5.4 Mini–6 LunaMid027000%
HaikuSmall126004%
Kimi 2.5–3Frontier027000%
Llama MaverickFrontier2610096%
Llama ScoutSmall19008100%
MiMo Pro 2–2.6Frontier5200220%
MiniMax M 2.7–3Frontier4230015%
Mistral SmallMid5220019%
Opus 4.6–5.5Frontier027000%
Qwen CoderMid2160078%
Sonnet 4.6–5.5Frontier7200026%

Per-prompt breakdown

PromptTierLangChainLangGraphNoneOtherA rate
ai-agent-applicationAdvanced471290127%
ai-agent-applicationIntermediate591161234%
ai-agent-applicationBeginner75940944%