Confident AI vs Langfuse (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 who want open-source LLM observability they can self-host and customize
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
Langfuse is an open-source LLM engineering platform for tracing, evals, and prompt management, self-hosted or on Langfuse Cloud with a free plan.
Starting Price
$0
Starting Price
Free
Free Trial
No
Free Trial
No
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
- Tracing for LLM calls, tool runs, and agent steps
- Python and TypeScript SDKs plus OpenTelemetry
- LLM-as-a-judge and custom evaluations
- Datasets and experiments
- Prompt management and playground
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
- MIT-licensed core, self-hostable with Docker Compose or Kubernetes
- Tracing, evals, and prompt management in one tool
- Unlimited users on paid cloud plans
- Free Hobby plan with 50k units a month
- Native SDKs plus OpenTelemetry for other languages
Cons
- No LLM gateway, so routing, failover, and spend limits need a separate tool
- Hobby plan keeps 30 days of data and caps at 2 users
- Enterprise SSO and RBAC need the $300/month Teams add-on on Pro
- Self-hosting means running and scaling Langfuse's services yourself
Confident AI or Langfuse — 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 Langfuse if you wantChoose if you want
- Tracing and debugging LLM apps and agents
- Self-hosting LLM observability
- Versioning prompts across environments
- Scoring outputs with LLM judges and human review
Compare Confident AI and Langfuse on your own traffic
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1,000+Models
5 minSetup
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