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Agent Frameworks
Methodology

LangChain vs LangGraph

LangChainLALangChainvsLangGraphLALangGraph
LangChainLangGraph
37%
63%

Leading: LangGraph (62.5%)

Statistics

MetricValue
LangChain wins151
LangGraph wins252
Abstains (no tool)1
Other tool chosen9
Decisive cases403
LangChain win rate (unweighted)37.5%
95% CI32.9% - 42.3%
LangChain win rate (weighted)37.5%

Comments

LangChain

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LangGraph

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Per-model breakdown

ModelTierLangChainLangGraphNoneOtherA rate
Gemini 2.5 ProFrontier21000100%
Llama 4 MaverickFrontier21000100%
Qwen3 Coder NextMid1740081%
Claude Sonnet 4.6Frontier7140033%
MiniMax M3Frontier4170019%
Mistral Small 4Mid3180014%
Claude Haiku 4.5Small120005%
Claude Opus 4.8Frontier021000%
Gemini 3.5 FlashSmall021000%
GPT 5.3 CodexFrontier021000%
GPT 5.4 MiniMid021000%
GPT 5.5Frontier021000%
Kimi K2.7 CodeFrontier021000%
DeepSeek R1 0528Frontier20010100%
DeepSeek V4 ProFrontier1280160%
DeepSeek V4 FlashMid1190055%
GLM 5.2Frontier119015%
MiMo V2.5 ProFrontier5140226%
Llama 4 ScoutSmall16005100%
Devstral 2 2512Mid1230080%

Per-prompt breakdown

PromptTierLangChainLangGraphNoneOtherA rate
ai-agent-applicationAdvanced41960030%
ai-agent-applicationIntermediate48871236%
ai-agent-applicationBeginner62690747%