Cleanlab TLM vs LangSmith
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Cleanlab TLM Evaluation | LangSmith Evaluation | |
|---|---|---|
| Tagline | Trustworthiness scoring layer that flags LLM hallucinations in real time. | LangChain's eval + observability platform. |
| Category | Evaluation | Evaluation |
| Pricing | Freemium· Free tier for evaluation; usage-based API pricing; enterprise/private deployment via sales | Freemium· Free starter; Plus $39/mo per seat |
| Model | Multi-model (wraps any LLM) | Platform (any LLM) |
| Editorial score | — | 8.7 / 10 |
| Use cases | hallucination-detectionrag-evaluationagent-guardrailschatbot-qadata-extraction | LLM tracingevalsLangChain integration |
| Pros |
|
|
| Cons |
|
|
| Website | help.cleanlab.ai | www.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