AI · head to head
Deepgram vs Replicate

Deepgram
AI
Voice AI API platform for speech-to-text, text-to-speech, and voice agents
- From
- Free
- Rated
- -
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.; Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- They diverge on capability: Deepgram covers Flux speech-to-text, Replicate covers Model hosting.
Where they differ
Only the attributes on which Deepgram and Replicate actually diverge.
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated), category (AI).
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 Replicate
- Model hosting
- Simple API
- Auto-scaling
- Custom models
- REST API
- Python client
- JavaScript client
- 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 Replicate
- Transcribing recorded audio at scale via batch STTnot Replicate
- Adding conversational text-to-speech to voice applicationsnot Replicate
- Self-hosting speech models for data residency requirementsnot Replicate
Replicate
- Running open source machine learning models through a hosted API without managing GPUsnot Deepgram
- Deploying and serving a custom or fine tuned model on rented GPU hardwarenot Deepgram
- Per second billed batch image, video and language model inferencenot 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 $4K/year commitment to unlock discounted rates.
- Enterprise features and custom SLAs require a direct sales conversation rather than self-serve signup.
- Some promotional per-minute rates are time-limited, meaning long-term pricing may differ from current promotional rates.
Replicate
- Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
- The pricing page publishes no free tier allowance
Pricing, plan by plan
Deepgram
Free- Pay As You Go$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
Replicate
Free- Pay-as-you-go$null/usage
- Billed by execution time for public models
- CPU Small: $0.000025/second ($0.09/hour)
- 8x Nvidia A100 GPUs: $0.0112/second ($40.32/hour)
- Enterprise$null/custom
- Dedicated account manager
- Priority support
- Higher GPU limits
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.
Choose Replicate if
- You need model hosting.
- You want to start without paying.
- You work on Api, Cloud.
- You also want simple api.
Questions people ask
- Is Deepgram or Replicate better?
- Neither clearly leads. Deepgram starts at Free and Replicate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Deepgram or Replicate?
- Deepgram starts at Free and Replicate at Free.
- Does Deepgram or Replicate run on more platforms?
- Deepgram runs on web, api. Replicate 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 Replicate is typically brought in for.
- What can Deepgram do that Replicate cannot?
- Deepgram covers Flux speech-to-text, Flux text-to-speech, Voice Agent API, Real-time and batch processing. Replicate covers Model hosting, Simple API, Auto-scaling, Custom models.
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.
SourceReplicate: How much does Replicate cost?
Replicate uses pay-as-you-go pricing based on model execution time and compute type. Costs range from $0.09/hour for CPU (Small) to $40.32/hour for 8x Nvidia A100 GPUs. Some models charge per input/output tokens instead of time.
SourceDeepgram: 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.
SourceReplicate: Does Replicate offer a free tier?
Yes, Replicate is free to start with pay-as-you-go pricing. There are no subscription tiers or minimum commitments; you pay only for what you use.
SourceDeepgram: 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.
SourceReplicate: What is the difference between public and private models?
Public models are billed by execution time. Private models are billed for all instance uptime including setup, idle, and active processing time, except for fast-booting fine-tunes which are billed only during active processing.
SourceRelated pages
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