AI · head to head
Deepgram vs Ollama

Deepgram
AI
Voice AI API platform for speech-to-text, text-to-speech, and voice agents
- From
- Free
- Free plan
- Yes

Ollama
Machine Learning
Open-source tool for running LLMs locally on desktop and servers
- From
- Free
- Free plan
- Yes
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.; Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Deepgram and Ollama actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Ollama
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 Ollama
- Transcribing recorded audio at scale via batch STTnot Ollama
- Adding conversational text-to-speech to voice applicationsnot Ollama
- Self-hosting speech models for data residency requirementsnot Ollama
Ollama
- Local development and testing without API costs or rate limitsnot Deepgram
- Privacy-sensitive applications requiring data to remain on-devicenot Deepgram
- Cost-sensitive deployments where computational resources are already availablenot Deepgram
- Fully offline environments or air-gapped networksnot 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 $4K/year commitment to unlock discounted rates.
- Enterprise features and custom SLAs require a direct sales conversation rather than self-serve signup.
- Some promotional per-minute rates are time-limited, meaning long-term pricing may differ from current promotional rates.
Ollama
- Requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
- No hosted service option for inference; all computational burden falls to user
- Limited to open-weight models; cannot run proprietary models like GPT-4 or Claude locally
- Performance depends entirely on user's hardware; no SLAs or guarantees on speed
Pricing, plan by plan
Deepgram
Free- Pay As You Go$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
Ollama
Free- FreeFree
- CLI, API, desktop apps
- Unlimited public models
- 40,000+ community integrations
- Pro$20/month
- Access to larger, more powerful cloud models
- Run 3 concurrent cloud models
- 50x more usage than Free
- Max$100/month
- Run 10 concurrent cloud models
- 5x more usage than Pro
- Team$25/month
- Per seat pricing (5-seat minimum = $125/month)
- Shared billing
- Zero data retention
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 Ollama if
- You want to start without paying.
- You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Questions people ask
- Is Deepgram or Ollama better?
- Neither clearly leads. Deepgram starts at Free and Ollama at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Deepgram or Ollama?
- Deepgram starts at Free and Ollama at Free.
- Does Deepgram or Ollama run on more platforms?
- Deepgram runs on web, api. Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
- 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 Ollama is typically brought in for.
- What can Deepgram do that Ollama 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.
SourceOllama: How much does Ollama cost?
Ollama is free to use with unlimited public models. Pro paid plans start at $20/month for 3 concurrent cloud models, or $100/month for Max with 10 concurrent models. Team plans cost $25/seat/month with a 5-seat minimum.
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.
SourceOllama: What does the Ollama free tier include?
The free tier includes CLI and API access, unlimited public models, 40,000+ community integrations, and private data retention, though limited to 1 concurrent cloud model.
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.
SourceOllama: How much usage is included with each Ollama plan?
Pro includes 50x more usage than Free, and Max includes 5x more usage than Pro. Session limits reset every 5 hours and weekly limits reset every 7 days across all tiers.
SourceOllama: Does Ollama log or train on user data?
No, Ollama explicitly states that prompt or response data is never logged or trained on, protecting user privacy across all plans.
SourceRelated pages
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