AI · head to head
Deepgram vs Traceloop

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

Traceloop
Logging
LLM reliability platform with open-source observability and evaluation
- 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.; Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use
- They diverge on capability: Deepgram covers Flux speech-to-text, Traceloop covers Open-source SDK (OpenLLMetry).
Where they differ
Only the attributes on which Deepgram and Traceloop 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 Traceloop
- Open-source SDK (OpenLLMetry)
- Multi-provider support
- Observability platform integration
- Framework support
- Monitoring dashboard
- Evaluation system
- Deployment flexibility
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 Traceloop
- Transcribing recorded audio at scale via batch STTnot Traceloop
- Adding conversational text-to-speech to voice applicationsnot Traceloop
- Self-hosting speech models for data residency requirementsnot Traceloop
Traceloop
- Monitoring LLM application performance in productionnot Deepgram
- Instrumenting LLM apps with minimal code overheadnot Deepgram
- Continuous evaluation and quality scoring of LLM outputsnot Deepgram
- Debugging LLM application issues with full trace visibilitynot Deepgram
- Integrating observability data into existing monitoring stacksnot 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 $4K/year commitment to unlock discounted rates.
- Enterprise features and custom SLAs require a direct sales conversation rather than self-serve signup.
- Some promotional per-minute rates are time-limited, meaning long-term pricing may differ from current promotional rates.
Traceloop
- Free tier limited to 50k spans per month and 24-hour retention, restricting production use
- Company acquisition by ServiceNow creates uncertainty about future roadmap
- Requires integration with separate observability platforms for visualization
- Less feature-rich than dedicated LLM evaluation platforms
Pricing, plan by plan
Deepgram
Free- Pay As You Go$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
Traceloop
Free- FreeFree
- 50,000 spans per month
- Up to 5 seats
- 24-hour data retention
- Enterprise$undefined/custom
- Unlimited spans per month
- Unlimited seats
- Custom 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 Traceloop if
- You need open-source sdk (openllmetry).
- You want to start without paying.
- You work on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- You also want multi-provider support.
Questions people ask
- Is Deepgram or Traceloop better?
- Neither clearly leads. Deepgram starts at Free and Traceloop at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Deepgram or Traceloop?
- Deepgram starts at Free and Traceloop at Free.
- Does Deepgram or Traceloop run on more platforms?
- Deepgram runs on web, api. Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- 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 Traceloop is typically brought in for.
- What can Deepgram do that Traceloop cannot?
- Deepgram covers Flux speech-to-text, Flux text-to-speech, Voice Agent API, Real-time and batch processing. Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support.
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.
SourceTraceloop: Is OpenLLMetry open-source?
Yes, OpenLLMetry is Traceloop's open-source SDK built on OpenTelemetry standards. It allows teams to instrument LLM applications with just 2 lines of code and send data to 25+ observability platforms.
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.
SourceTraceloop: What is the impact of ServiceNow acquisition?
Traceloop is joining ServiceNow, representing a strategic acquisition that will broaden enterprise adoption and integration capabilities. Current operations continue with free and enterprise options available.
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.
SourceTraceloop: How many LLM providers and frameworks does Traceloop support?
Traceloop supports 20+ LLM providers including OpenAI and Anthropic, and integrates with frameworks like LangChain and LlamaIndex. It can send data to 25+ observability platforms.
SourceRelated pages
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- Traceloop vs Checkly
- Traceloop vs CloudWatch
- Traceloop vs Dynatrace
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