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Compare · 2026

Glow vs Langfuse

Langfuse is a great open-source tool for engineers: traces, evals, prompt management and cost per trace (ClickHouse acquired it in January 2026). Glow is for the person paying the bill: spend by model, key and product, next to revenue, from the providers’ own usage data.

Langfuse priceFree (cloud hobby or self-host); Core $29/mo; Pro $199/mo
How it worksSDK or OpenTelemetry instrumentation
OwnerClickHouse (since January 2026)

From langfuse.com/pricing, checked October 2026. Prices change; check theirs before you buy.

Side by side

LangfuseGlow
Revenue sourcesNoStripe (one or several accounts)
One view per productBy project you instrumentYes: a product tree with channels under each product
Costs: hosting, SaaS, cards, bankNoRamp card spend, Cloudflare and AI bills; keep-or-cancel for unused SaaS
AI spend by model and keyYes, per traceYes: OpenRouter and Cloudflare, per key and product, against revenue
SEO and analytics joined to revenueNoSearch Console, GA4 and PostHog joined to Stripe: clicks → signups → $
Explains what changedNoAI caption on every chart, daily briefing, “Glow found” nuggets with proof
Agents that act on the numbersNoDaily agents grounded in your numbers; dispatch to Claude Code or Devin
Phone appWebPhone-first (iOS, Android), with web
SetupInstrument your codeRead-only keys, about a minute per source
PriceFree, then $29 to $199 a monthSolo $19, Pro $49, Studio $99 a month

Which one should you pick?

Pick Langfuse if

  • You’re an engineer who needs traces, evals and prompt versioning.
  • You want to self-host your observability.

Pick Glow if

  • You want spend per product and key without instrumenting anything.
  • You want to compare AI cost with revenue.
  • You want the cheaper-model suggestion, tested on your task.

Or use both. Engineers keep Langfuse for traces; the owner uses Glow for the bill.

Related

Glow vs Langfuse: questions

Is Glow a Langfuse alternative?

Only for cost tracking. Glow doesn’t do traces or evals for your app. It shows what AI costs each product, from provider usage data, next to revenue.

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