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Langfuse vs PromptLayer

Langfuse or PromptLayer? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In short

  • Both: Self-hosted, API, Official SDKs, Traces and evaluates
  • Only Langfuse states: Command line, Choice of models
  • Only PromptLayer states: Builds agents and workflows

Langfuse

Langfuse traces, evaluates, and monitors AI agents and LLM applications, with prompt management, experiments, and cost analytics.

Plans

Hobby

Free

  • 50k units / month included
  • 30 days data access
  • 2 users
  • Community support via GitHub
  • All platform features (with limits)

Core

  • $29 / month
  • $8/100k units
  • 100k units / month included
  • 90 days data access
  • Unlimited users
  • In-app support
  • Everything in Hobby

Pro

  • $199 / month
  • $8/100k units
  • 100k units / month included
  • 3 years data access
  • Data retention management
  • Unlimited annotation queues
  • High rate limits
  • Prioritized in-app support

Enterprise

  • $2499 / month
  • $8/100k units
  • 100k units / month included
  • Audit Logs
  • SCIM API
  • Custom rate limits
  • Uptime SLA
  • Named lead support engineer

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Command line — “Langfuse CLI Full API access from the terminal for agent workflows, scripts, and CI/CD.” source
  • Choice of models — “Test prompts on real production inputs and compare models side-by-side.” source
  • Self-hosted — “Self-host at scale” source
  • API — “REST APIs for everything” source
  • Official SDKs — “Best-in-class SDKs: Native SDKs for Python and JavaScript” source
  • Traces and evaluates — “Trace, evaluate, and improve AI agents with one open platform.” source

Security

  • SOC 2 Type II — “The production service is based on the same open-source Langfuse codebase, is covered by SOC 2 Type II and ISO 27001 audits, and undergoes annual third-party penetration tests.” source
  • SOC 2 — “We take active steps to demonstrate our commitment to data security and privacy such as annual SOC2 Type 2 and ISO27001 audits as well as External Penetration Tests.” source
  • ISO 27001 — “The production service is based on the same open-source Langfuse codebase, is covered by SOC 2 Type II and ISO 27001 audits, and undergoes annual third-party penetration tests.” source
  • GDPR — “Langfuse is GDPR compliant, and offers data retention, data masking and data deletion capabilities to manage the processing of personal data .” source
  • HIPAA — “We offer a DPA , provide a HIPAA-ready region , and adhere to our Privacy Policy .” source
  • Data kept in the EU — “Langfuse Cloud – fully-managed SaaS (multi-tenant) with US, EU, Japan, and HIPAA data regions” source

Latest updates

About Langfuse

PromptLayer

PromptLayer helps AI teams manage prompts, run evaluations, trace agents, and monitor LLM application usage.

Plans

Free

Free

  • 5 users
  • 2.5k/month requests
  • 1 workspace
  • 250/month Eval Cell Executions
  • 10MB max per Dataset

Pro

  • $49 per month
  • Same limits as in Free, plus
  • Unlimited Playgrounds
  • Unlimited Workspaces
  • 150MB max per Dataset

Team

  • $500 per month
  • 25 Users
  • 100k+/month Requests
  • 7.5k+/month Eval Cell Executions
  • 1GB max per Dataset

Enterprise

Price on request

  • Custom limits on everything
  • Role Based Access Controls
  • Deployment Approvals
  • HIPAA with BAA
  • Flexible Hosting Options
  • Dedicated Support

Prices checked 2026-09-26 on the maker’s page.

Capabilities

  • Self-hosted — “Enterprise Self-hosted, managed single-tenant” source
  • API — “PromptLayer provides versioned prompts, programmatic APIs, webhooks, and evaluation workflows for controlled CI/CD releases.” source
  • Official SDKs — “Treat prompt versions like deployable software artifacts: retrieve them through an SDK or REST API, run regression evaluations when they change, and promote release labels only after checks pass.” source
  • Builds agents and workflows — “Build, trace, and improve agent workflows with prompts, tool calls, evaluations, and logs in one place.” source
  • Traces and evaluates — “Connect production traces to prompt versions, inspect failures, and track cost, latency, and token usage.” source

Latest updates

  • Deployment 1

    General performance and stability improvements

  • Deployment 1

    Structured Search accepts Ctrl+Enter; FOR_LOOP column variable mappings are preserved; multi-value badges handle overflow and text wrapping.

  • Deployment 1

    Added Gemini 3.8 Flash support across Google AI Studio, Vertex AI, and OpenRouter; updated GPT-5.6 Sol and Sol Pro pricing.

About PromptLayer