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Software · head to head

Deepgram vs Together AI

Deepgram logo

Deepgram

Software

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

From
Free
Rated
-
Full reviewWebsite
Together AI logo

Together AI

Software

Open-source AI at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Deepgram pricing is entirely usage-based, so total cost can be harder to predict than flat subscription tools.; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
  • They diverge on capability: Deepgram covers Flux speech-to-text, Together AI covers Open-source models.

Where they differ

Only the attributes on which Deepgram and Together AI actually diverge.

Attributes where Deepgram and Together AI differ
AttributeDeepgramTogether AI
Platformsweb, apiApi, Cloud
FoundedUnknown2022

Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), 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 Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • REST API
  • Python SDK
  • OpenAI compatible
  • Api support

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 Together AI
  • Transcribing recorded audio at scale via batch STTnot Together AI
  • Adding conversational text-to-speech to voice applicationsnot Together AI
  • Self-hosting speech models for data residency requirementsnot Together AI

Together AI

  • Serverless inference against open source chat, vision, embedding, image and video modelsnot Deepgram
  • Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Deepgram
  • Fine tuning open weight models on a per token basisnot Deepgram

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.

Together AI

  • Fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
  • Reserved GPU commitments beyond 180 days are priced by contacting sales with no published rate
  • Volume and enterprise discounts are quote only with no published threshold
  • Reserved dedicated inference pricing is contact sales while only on demand rates of $5.49 to $8.99 per GPU hour are published

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

Together AI

Free
  • FreeFree
    • $5 credits
    • API access
  • Pay-per-use$0.2/per-million-tokens
    • All models
    • Fine-tuning

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 Together AI if

  • You need open-source models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want fine-tuning.
Together AI review

Questions people ask

Is Deepgram or Together AI better?
Neither clearly leads. Deepgram starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Deepgram or Together AI?
Deepgram starts at Free and Together AI at Free.
Does Deepgram or Together AI run on more platforms?
Deepgram runs on web, api. Together AI runs on Api, Cloud.
Can I use Deepgram for free?
Both have a free tier, so you can try either at no cost before committing.
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 Together AI is typically brought in for.
What can Deepgram do that Together AI cannot?
Deepgram covers Flux speech-to-text, Flux text-to-speech, Voice Agent API, Real-time and batch processing. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

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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