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📖 The AI Tool Bible

Cleanlab TLM vs LangSmith

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 Cleanlab TLM logo
Cleanlab TLM
Evaluation
LangSmith logo
LangSmith
Evaluation
TaglineTrustworthiness scoring layer that flags LLM hallucinations in real time.LangChain's eval + observability platform.
CategoryEvaluationEvaluation
PricingFreemium· Free tier for evaluation; usage-based API pricing; enterprise/private deployment via salesFreemium· Developer: $0 · Plus: $39 · Enterprise: Custom pricing
ModelMulti-model (wraps any LLM)Platform (any LLM)
Editorial score6.8 / 108.7 / 10
Use cases
hallucination-detectionrag-evaluationagent-guardrailschatbot-qadata-extraction
LLM tracingevalsLangChain integration
Pros
  • Model-agnostic — works with any LLM provider or open-weights model
  • Real-time trust scores enable automated routing and guardrails
  • Strong published benchmarks vs other hallucination detectors
  • Configurable latency/cost tradeoffs suitable for production
  • Tight LangChain integration
  • Strong tracing UX
  • Mature dataset/eval flows
  • Reasonable per-seat pricing
Cons
  • Public pricing is opaque; serious volume needs sales contact
  • Adds an extra API hop and latency to every LLM call
  • Trust scores are probabilistic — not a hard correctness guarantee
  • Best value if you're on LangChain
  • UI can feel dense
Websitehelp.cleanlab.aiwww.langchain.com
Pick Cleanlab TLM if
  • ✅ Model-agnostic — works with any LLM provider or open-weights model
  • ✅ Real-time trust scores enable automated routing and guardrails
  • ✅ Strong published benchmarks vs other hallucination detectors
  • ✅ Configurable latency/cost tradeoffs suitable for production
Pick LangSmith if
  • ✅ Tight LangChain integration
  • ✅ Strong tracing UX
  • ✅ Mature dataset/eval flows
  • ✅ Reasonable per-seat pricing
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