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LLM Observability
Methodology

Langfuse vs LangSmith

LangfuseLALangfusevsLangSmithLALangSmith
LangfuseLangSmith
33%
67%

Leading: LangSmith (67.5%)

Statistics

MetricValue
Langfuse wins646
LangSmith wins1341
Abstains (no tool)45
Other tool chosen441
Decisive cases1987
Langfuse win rate (unweighted)32.5%
95% CI30.5% - 34.6%
Langfuse win rate (weighted)32.5%

Comments

Langfuse

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LangSmith

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Per-model breakdown

ModelTierLangfuseLangSmithNoneOtherA rate
GPT 5.4Frontier119130090%
GPT 5.3 CodexFrontier118140089%
Claude Opus 4.6Frontier110220083%
Claude Sonnet 4.6Frontier301020023%
GLM 5 TurboFrontier12120009%
GPT 5.4 MiniMid231051318%
DeepSeek V3.2Mid7120056%
MiMo V2 ProFrontier1125241%
Gemini 2.5 ProFrontier1122631%
DeepSeek R1 0528Frontier01181130%
Claude Haiku 4.5Small793701368%
Qwen3 Coder NextMid556111447%
Mistral Small 4Mid41120133%
Kimi K2.5Frontier50654043%
MiniMax M2.7Frontier11053211%
Llama 4 MaverickFrontier117504613%
Llama 4 ScoutSmall2401190100%
Devstral 2 2512Mid02115900%
Gemini 2.5 FlashSmall14112620%

Per-prompt breakdown

PromptTierLangfuseLangSmithNoneOtherA rate
ai-support-agent-platformIntermediate8126417023%
ai-revenue-ops-copilotIntermediate8725116426%
ai-support-agent-platformBeginner159174116948%
ai-revenue-ops-copilotAdvanced9623227929%
ai-support-agent-platformAdvanced11820619036%
ai-revenue-ops-copilotBeginner105214296933%