Confident AI vs LangSmith (2026)
Updated March 9, 2026
vs
Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
Developers who run LLM evals in CI with DeepEval and want a hosted platform for tracing, datasets, and online evals
Best For
Teams building agents on LangChain or LangGraph who want tracing, evals, and deployment from one vendor
Product Summary
Confident AI is the LLM evaluation and observability platform from the creators of DeepEval. Compare its pricing, features, pros and cons, and alternatives.
Product Summary
LangSmith is LangChain's platform for tracing, evaluating, and deploying AI agents. Compare its features, pricing, pros and cons, and alternatives.
Starting Price
$0
Starting Price
Free
Free Trial
No
Free Trial
Yes
Free Version
Yes
Free Version
Yes
Website
Website
Key features
Core capabilities each platform advertises.
- DeepEval open-source evaluation framework
- LLM-as-a-judge metrics
- CI/CD regression testing
- LLM tracing and online evals
- Native tracing for LangChain and LangGraph
- OpenTelemetry and multi-language SDKs
- Offline and online evaluations
- Annotation queues and datasets
- Prompt Hub with versioning
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Open-source DeepEval runs locally without the platform
- Per-organization pricing with unlimited seats from Starter up
- Tracing, evals, and annotation in one workspace
- Red teaming and governance in the same platform on Enterprise
Cons
- No built-in gateway, so routing needs a separate tool
- Free plan limited to two seats, one project, and five test runs a week
- Online evals and annotation queues start at $200/month
- On-prem deployment and HIPAA are Enterprise only
Pros
- Native LangChain and LangGraph tracing with no extra instrumentation
- Evals, datasets, and annotation queues sit in the same workspace as traces
- Tracing, deployment, and sandboxes from one vendor
- Framework-agnostic SDKs and OpenTelemetry support
Cons
- Per-seat pricing on Plus, and the free plan allows one seat
- 14-day base retention, with longer retention billed at a higher rate
- LLM Gateway is still in beta
- Self-hosting and hybrid deployment are Enterprise only
Confident AI or LangSmith — which should you choose?
Choose Confident AI if you wantChoose if you want
- Unit testing LLM applications
- Automated evaluation in CI/CD pipelines
- RAG evaluation with custom metrics
- Regression testing for prompts
Choose LangSmith if you wantChoose if you want
- Debugging LangChain and LangGraph agents
- Evaluating agent output against datasets
- Human review through annotation queues
- Deploying long-running agents
Compare Confident AI and LangSmith on your own traffic
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1,000+Models
5 minSetup
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