LangSmith vs Langfuse: which does AI recommend?

· ChatGPT Search and Google AI Mode

Based on every AI answer that names bothReviewed by

How we measure

When AI names both, it lists first slightly more often. It recommends more often.

Listed first when AI names both

LangSmithLangSmith: 48%LangfuseLangfuse: 52% (Langfuse leads)

Recommended when named

LangSmithLangSmith: 78%
LangfuseLangfuse: 88% (Langfuse leads)

Where each brand stands out

Langfuse

  • ChatGPT SearchSep 14, 2026Langfuse1 of 9

    … If your primary requirement is “log every LLM request and response for auditing”, my default recommendation in 2026 is langfuse.com. It is purpose-built for LLM observability rather than general APM, and its traces capture prompts, model responses, token usage, latency, metadata, tool calls, and retrieval steps.

  • ChatGPT SearchJul 18, 2026Langfuse1 of 4

    Great for finding “why did it call the same tool again?” patterns. Langfuse · Framework-agnostic teams · Strong trace visualization, self-hosting option, and good for inspecting production runs without locking into one framework. Arize Phoenix · Deep debugging + evals · Excellent if you want OpenTelemetry-based traces, retrieval/tool-call inspection, and experimentation workflows.

Neither ahead

  • ChatGPT SearchAug 29, 2026LangSmith1 of 3

    --- · --- · --- · --- Langfuse · Most teams / open-source stacks · Excellent prompt tracing, token/cost tracking, prompt versioning, datasets, scores, self-hosting · Less tightly integrated than LangSmith for LangChain-only apps LangSmith · LangChain / LangGraph apps · Best trace visualization for chains and agents, strong debugging workflow · More ecosystem lock-in Arize Phoenix · RAG + eval-heavy teams · Strong OpenTelemetry/OpenInference approach, retrieval debugging, evaluations · Less polished prompt-management experience Braintrust · Teams prioritizing evals · Great for experiment tracking, regression testing, prompt/model comparisons · More eval-centric than pure observability Helicone · Quick API-level logging · Very fast setup for cost and latency visibility · Less compelling for long-term observability strategies according to recent comparisons The Context Company My default recommendations If you are building a production AI app from scratch Pick Langfuse.

Topic by topic

Mentioned in, as a share of each topic’s answers

LangSmith named more17About even4Langfuse named more10

Who AI mentions first

LangSmith listed firstLangfuse listed first
  1. MayLangSmith listed first: 38%Langfuse listed first: 62%
  2. JunLangSmith listed first: 46%Langfuse listed first: 54%
  3. JulLangSmith listed first: 45%Langfuse listed first: 55%
  4. AugLangSmith listed first: 51%Langfuse listed first: 49%
  5. SepLangSmith listed first: 52%Langfuse listed first: 48%
  6. Oct, so farLangSmith listed first: 41%Langfuse listed first: 59%
  • ChatGPT SearchLangSmith listed first: 42%Langfuse listed first: 58%
  • Google AI ModeLangSmith listed first: 56%Langfuse listed first: 44%

How would your brand compare?

Find out where you stand in AI answers—and who you’re up against.