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PromptLayer vs PromptOps Manager

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PromptLayer

7.0#4 in prompting toolFrom $49 a month
Free planWebAPISelf-hosted
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What both publish

FactPromptLayerPromptOps Manager
EvaluationEvaluations can be triggered on new prompt versions, through the API, or ad hoc in the UI, and include historical backtests and side-by-side model comparisons.The llm_judge assertion uses a second LLM call to grade a response and explain its reasoning.
IntegrationsThe LangChain integration exports traces through OpenTelemetry and supports cost and latency analytics, searchable metadata, and turning traces into evaluation datasets.The documented LLM providers are OpenAI and Anthropic, with a fake provider for hardcoded responses.
Notable limitsFree includes 10 prompts and 10 playground runs per day, while webhooks are available on Team and Enterprise plans.Team and workspace support with roles, a CLI, and GitHub Actions integration are listed as planned roadmap items.

PromptLayer plans

  • FreeFree
  • Pro$49 a month
  • Team$500 a month
  • EnterprisePriced on request

PromptOps Manager plans

  • Free / self-hostedFree

Pick PromptLayer if…

PromptLayer suits engineers and domain experts who need to manage prompts and evaluate AI products together. Its enterprise hosting and access-control options may suit teams with specific deployment or governance needs.

Pick PromptOps Manager if…

PromptOps Manager suits developers who want to run their own prompt registry and control prompt promotion across environments. It is useful for teams integrating OpenAI or Anthropic prompts into apps and automations.

Charts they share