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Langfuse vs Langtail

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Cheaper paid plan
Langfuse — $29/mo vs $99/mo for Langtail
Free plan
Both have one
Public API
Both have one
Higher Trust score
Langtail — 94 vs 80 for Langfuse
Best fit
Langfuse: Engineering teams running LLM apps or agents in production who need traces and cost tracking · Langtail: Teams where product or support staff own prompt wording, not just engineers

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactLangfuseLangtail
CategoryLLM Observability & EvaluationPrompt Management & Versioning
Pricing modelFreemiumFreemium
Starts at$29/mo$99/mo
Public APIYesYes
Trust score80 / 10094 / 100
PlatformsWeb, APIWeb, API
CompanyLangfuse GmbHLANGTAIL.COM s.r.o.
Launched2023—
Last verifiedOct 29, 2026Oct 16, 2026

What our research says

Langfuse

Langfuse is a strong default for teams that want tracing, prompt versioning and evaluations in one open-source tool, with the option to keep data on their own infrastructure. Teams that only want a hosted logging proxy with no SDK work, or that need guaranteed enterprise SSO without paying for add-ons, may find simpler or more bundled options.

Pros

  • MIT-licensed core that can be self-hosted without usage limits
  • Covers tracing, prompt management, evaluation and dashboards in one product
  • Generous free cloud tier and unlimited users from the $29 Core plan
  • OpenTelemetry support and SDKs for Python and JavaScript

Cons

  • Usage above the included 100k units is billed extra, so busy apps pay more than the headline price
  • Free tier keeps only 30 days of data and two users
  • Enterprise SSO and RBAC require the $300 Teams add-on on Pro or the Enterprise plan

Langtail

The useful idea is treating prompts like code that needs a test suite, and then handing the editing surface to people who do not write code. Cross-model replay makes swapping providers a measurable decision rather than a leap, and the firewall covers a risk most prompt tools ignore entirely. The step from free to 99 dollars a month is abrupt for a solo developer, and a Czech company of this size is a smaller bet than the observability platforms it competes with.

Pros

  • Spreadsheet-style prompt editing that non-developers can actually use
  • Test suites and validation runs against saved cases before deployment
  • Replay across models and parameter settings for direct comparison
  • AI Firewall screens for prompt injection and unsafe output
  • Typed TypeScript SDK plus OpenAPI, and a self-hosting option

Cons

  • Only one intermediate tier: free, then 99, then 499 dollars a month plus VAT
  • No pricing anywhere on the marketing pages, only on the plan page
  • Small vendor, and the company gives its details only inside the privacy policy
  • Prices are quoted excluding VAT, so the EU figure is higher than the sticker

Which one fits

Choose Langfuse if you need

  • Engineering teams running LLM apps or agents in production who need traces and cost tracking
  • Organisations that must self-host observability data for compliance
  • Teams that want prompts, datasets and evals tied to the same traces

Choose Langtail if you need

  • Teams where product or support staff own prompt wording, not just engineers
  • Anyone comparing the same prompt across providers before committing
  • Deployments that need prompt-injection screening at runtime

Langfuse vs Langtail: the questions people ask

Is Langfuse cheaper than Langtail?

On published entry prices, Langfuse starts lower — $29/mo against $99/mo for Langtail. Entry price is the lowest paid plan as we last verified it; what each plan includes differs.

Does Langfuse or Langtail have a free tier?

Both: Langfuse has a free tier, and Langtail has a free tier.

Which has a public API, Langfuse or Langtail?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

Browse all LLM Observability & Evaluation →