Confident AI vs Lunary (2026)
Updated March 10, 2026
Overview
Confident AI is the LLM evaluation and observability platform from the creators of DeepEval. Compare its pricing, features, pros and cons, and alternatives.
Lunary is an open-source LLM observability platform for monitoring AI applications in production. It provides request tracing, cost tracking, user analytics, and prompt management with a clean dashboard. Lunary can be self-hosted for data privacy and offers a managed cloud option.
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
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
- Production-ready platform
- Good performance
- Active development
- Strong features
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve required
Confident AI or Lunary — 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 Lunary if you wantChoose if you want
Compare Confident AI and Lunary on your own traffic
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