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LLM Coding Agents
Methodology

Cursor vs LangChain

CursorCUCursorvsLALangChain
CursorLangChain
72%
28%

Leading: Cursor (71.6%)

Statistics

MetricValue
Cursor wins788
LangChain wins312
Abstains (no tool)715
Other tool chosen630
Decisive cases1100
Cursor win rate (unweighted)71.6%
95% CI68.9% - 74.2%
Cursor win rate (weighted)71.6%

Comments

Cursor

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LangChain

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Per-model breakdown

ModelTierCursorLangChainNoneOtherA rate
GLM 5 TurboFrontier130020100%
Claude Opus 4.6Frontier743820066%
GPT 5.4 MiniMid100172399%
GPT 5.3 CodexFrontier9002517100%
GPT 5.4Frontier8703110100%
Claude Sonnet 4.6Frontier740580100%
DeepSeek V3.2Mid571752477%
MiniMax M2.7Frontier5410254084%
MiMo V2 ProFrontier45730417%
Kimi K2.5Frontier560539100%
Gemini 2.5 FlashSmall24959224%
DeepSeek R1 0528Frontier04751340%
Mistral Small 4Mid363542592%
Llama 4 MaverickFrontier03952410%
Qwen3 Coder NextMid33317768%
Devstral 2 2512Mid69555540%
Gemini 2.5 ProFrontier12018102100%
Llama 4 ScoutSmall0941790%
Claude Haiku 4.5Small306552100%

Per-prompt breakdown

PromptTierCursorLangChainNoneOtherA rate
ai-revenue-ops-copilotAdvanced18565713274%
ai-revenue-ops-copilotIntermediate20038216084%
ai-support-agent-platformAdvanced19840017283%
ai-support-agent-platformIntermediate62782056944%
ai-revenue-ops-copilotBeginner81532225960%
ai-support-agent-platformBeginner62382793862%