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Software · head to head

Deepgram vs Langfuse

Deepgram logo

Deepgram

Software

Voice AI API platform for speech-to-text, text-to-speech, and voice agents

From
Free
Rated
-
Full reviewWebsite
L

Langfuse

Software

Simple pricing for projects of all sizes

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Deepgram has a free tier, so it costs nothing to try first.
  • Each has a real cost: Deepgram pricing is entirely usage-based, so total cost can be harder to predict than flat subscription tools.; Langfuse billing is metered per unit, where a unit is any trace, observation, or score sent to the platform; the free Hobby tier includes only 50,000 units per month before graduated per-unit charges apply, as of August 2026.

Where they differ

Only the attributes on which Deepgram and Langfuse actually diverge.

Attributes where Deepgram and Langfuse differ
AttributeDeepgramLangfuse
Starting priceFreeOn request
Free tierYesNo
Platformsweb, apiWeb

Identical on both: pricing model (usage-based), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Deepgram

  • Flux speech-to-text
  • Flux text-to-speech
  • Voice Agent API
  • Real-time and batch processing
  • Self-hosted deployment
  • Audio intelligence

Only in Langfuse

Nothing recorded that Deepgram does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Deepgram

  • Building real-time voice agents for customer supportnot Langfuse
  • Transcribing recorded audio at scale via batch STTnot Langfuse
  • Adding conversational text-to-speech to voice applicationsnot Langfuse
  • Self-hosting speech models for data residency requirementsnot Langfuse

Langfuse

No use cases recorded yet. See the Langfuse review.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Deepgram

  • Pricing is entirely usage-based, so total cost can be harder to predict than flat subscription tools.
  • The Growth plan requires a minimum $4K/year commitment to unlock discounted rates.
  • Enterprise features and custom SLAs require a direct sales conversation rather than self-serve signup.
  • Some promotional per-minute rates are time-limited, meaning long-term pricing may differ from current promotional rates.

Langfuse

  • Billing is metered per unit, where a unit is any trace, observation, or score sent to the platform; the free Hobby tier includes only 50,000 units per month before graduated per-unit charges apply, as of August 2026.

Pricing, plan by plan

Deepgram

Free
  • Pay As You Go$undefined/mo
    • $200 free credit to start
    • No minimums or expiration
    • No credit card required to start
  • Growth$undefined/mo
    • Save up to 20% with annual pre-paid credits
    • Minimum $4K/year commitment
    • Credits applied against actual usage
  • Enterprise$undefined/mo
    • Custom pricing for large-scale deployments
    • Dedicated support and contracts

Langfuse

On request

No published plan breakdown. See the Langfuse review.

Which should you pick?

Choose Deepgram if

  • You need flux speech-to-text.
  • You want to start without paying.
  • You work on web, api.
  • You also want flux text-to-speech.
Deepgram review

Choose Langfuse if

Nothing in the data separates Langfuse from Deepgram on the points above - pick on price and on how each one feels to use.

Langfuse review

Questions people ask

Is Deepgram or Langfuse better?
Neither clearly leads. Deepgram starts at Free and Langfuse at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Deepgram or Langfuse?
Deepgram has a free tier; the other does not. Paid plans start at Free for Deepgram and On request for Langfuse.
Does Deepgram or Langfuse run on more platforms?
Deepgram runs on web, api. Langfuse runs on Web.
Can I use Deepgram for free?
Yes. Deepgram has a free tier, so you can try it without paying. Langfuse starts at On request.
What is Deepgram best used for?
Deepgram is most often used for building real-time voice agents for customer support, transcribing recorded audio at scale via batch stt, adding conversational text-to-speech to voice applications, self-hosting speech models for data residency requirements. Of those, building real-time voice agents for customer support and transcribing recorded audio at scale via batch stt are not what Langfuse is typically brought in for.
What can Deepgram do that Langfuse cannot?
Deepgram covers Flux speech-to-text, Flux text-to-speech, Voice Agent API, Real-time and batch processing.

Answered from the vendors’ own pages

Deepgram: What does Deepgram cost?

Deepgram uses usage-based pricing starting with $200 in free credit, pay-as-you-go rates per minute or per character, a Growth plan with annual pre-paid credits requiring a $4K/year minimum, and custom Enterprise pricing.

Source
Deepgram: Is there a free plan, and what are its limits?

New users get $200 of free credit with no credit card required, which can be applied to speech-to-text, text-to-speech, or voice agent usage before any payment is needed.

Source
Deepgram: How is usage metered?

Usage is metered per minute of audio for speech-to-text and voice agent calls, and per 1,000 characters for text-to-speech, with add-ons like redaction and entity detection billed separately per minute.

Source
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