EvalDog vs Promptfoo vs LangSmith
All three help you evaluate LLM outputs. They’re built for different people. Here’s the honest breakdown.
| EvalDog | Promptfoo | LangSmith | |
|---|---|---|---|
| Zero-token CLI for CI | |||
| Hosted dashboard (no setup) | Cloud add-on | ||
| Pass/fail score report | Via evals | ||
| Model-drift alerts | Soon | ||
| No ML background needed | Partly | ||
| Starting price | $0 → $29/mo | $0 (OSS) → contact | $0 → ~$39+/seat |
| Best for | QA & small teams | AI devs / red-team | LangChain teams |
Comparison reflects publicly available info as of June 2026 and may change. Promptfoo is open source (now part of OpenAI); LangSmith is by LangChain.
When to choose EvalDog
- You want a hosted pass/fail report without standing up infrastructure.
- You’re a QA engineer or small team, not a full-time ML engineer.
- You need a zero-token quality gate in CI — and alerts when a model update breaks you.
Love the free Promptfoo CLI? Keep it. EvalDog adds the hosted, watching layer on top — for when “run it when I remember” isn’t enough.