LangSmith vs Traceloop
On the evidence we track, Traceloop leads this comparison with a composite score of 69/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for llm observability. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
LangSmith
LangSmith enables users to observe, evaluate, and deploy AI agents through a web interface that requires no coding. The platform provides tools for agent engineering and monitoring.
Traceloop
LeaderTraceloop provides automatic tracing and monitoring for LLM applications, offering built-in quality metrics, real-time production monitoring, and automated evaluation to help teams improve model reliability and deploy with confidence.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
LangSmith
Pricing not documented yet.
Traceloop
LeaderFree tier with up to 50K spans/month. Enterprise custom pricing. 14-day free trial.
- FreeFree
- Monitoring Dashboard
- Evaluation Dashboard
- CI/CD integration
- Prompt Management
- EnterpriseContact sales
- SOC 2 Compliance
- On-prem deployment option
- Dedicated slack support
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
LangSmith
Not documented yet.
Traceloop
Leader- OpenAI
- Anthropic
- Gemini
- Bedrock
- Ollama
- Watsonx
- Cohere
- Mistral AI
- together.ai
- Pinecone
- Chroma
- LangChain
- LlamaIndex
- CrewAI
- Grafana Tempo
- OpenTelemetry
- Prometheus
- AWS Marketplace
- GCP Marketplace
- Azure Marketplace
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.