Helicone vs Deepgram

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.

What people use each for

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

Where each one falls short

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

Pricing, plan by plan

Which should you pick?

Questions people ask

Is Helicone or Deepgram better?

Neither clearly leads. Helicone starts at Free and Deepgram at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, Helicone or Deepgram?

Helicone starts at Free and Deepgram at Free.

Does Helicone or Deepgram run on more platforms?

Both run on web, api, so platform support will not decide this one for you.

Can I use Helicone for free?

Both have a free tier, so you can try either at no cost before committing.

What is Helicone best used for?

Helicone is most often used for monitoring cost and latency of production llm applications, debugging multi-step agent sessions, managing and iterating on prompts across a team, routing requests across multiple llm providers. Of those, monitoring cost and latency of production llm applications and debugging multi-step agent sessions are not what Deepgram is typically brought in for.

What can Helicone do that Deepgram cannot?

Helicone covers Request dashboard and tracking, Sessions and segments, Helicone Query Language (HQL), Prompt datasets and improvement. Deepgram covers Flux speech-to-text, Flux text-to-speech, Voice Agent API, Real-time and batch processing.