Langfuse vs AssemblyAI Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Langfuse pricing AssemblyAI pricing
Starts at $29/mo Custom
Number of plans 4 2
Free plan —
Free trial — —
Pricing model hybrid usage-based

Price is one row. To weigh the features too, use our feature comparison template →

Hobby

$0/mo
  • All platform features (with limits)
  • 50k units / month included
  • 30 days data access
  • 2 users
  • Community support via GitHub

Core

$29/mo
  • Everything in Hobby
  • 100k units / month included, additional: $8/100k units. Lower with volume (pricing calculator)
  • 90 days data access
  • Unlimited users
  • In-app support

Pro

$199/mo
  • Everything in Core
  • 100k units / month included, additional: $8/100k units. Lower with volume (pricing calculator)
  • 3 years data access
  • Data retention management
  • Unlimited annotation queues
  • High rate limits
  • SOC2 & ISO27001 reports, HIPAA-ready region
  • Prioritized in-app support

Enterprise

$2499/mo
  • Everything in Pro + Teams
  • 100k units / month included, additional: $8/100k units. Lower with volume (pricing calculator)
  • Audit Logs
  • SCIM API
  • Custom rate limits
  • Uptime SLA
  • Support SLA
  • Named lead support engineer

Pay as you go

Custom
  • Universal-3.5 Pro ($0.21/hr)
  • Universal-2 ($0.15/hr)
  • Universal-3.6 Pro Realtime ($0.45/hr)
  • Universal-Streaming ($0.15/hr)
  • Universal-Streaming Multilingual ($0.15/hr)

Custom

Custom
  • Get custom rate limits, enhanced concurrency, and enterprise-grade flexibility tailored to your AI workloads.

Langfuse vs AssemblyAI FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
Langfuse has a free plan. AssemblyAI doesn't — you'll need to pay from day one.
How do they charge?
Different approach here. Langfuse uses hybrid pricing, while AssemblyAI goes with usage-based. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. Langfuse: Langfuse plays the developer-friendly value card in the LLM observability space, with a generous free tier, a cheap $29 entry point, and a self-host escape hatch that undercuts closed-source rivals on trust and cost. Startup, EDU, and OSS discounts show they're courting the builder community first and treating enterprise as the follow-on revenue. AssemblyAI: With no free plan or trial and rates behind a calculator, they're signaling a quality-first API vendor rather than the race-to-the-bottom option, though the low-cent add-on prices keep the entry cost approachable. They're clearly targeting builders embedding speech AI into products who care about accuracy and model breadth over the cheapest per-minute rate.

Still deciding? See the best Langfuse alternatives or the best AssemblyAI alternatives, ranked with verified pricing.

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