Quick Comparison

DeepgramAssemblyAI
Best For Developers who want the larger free credit to start with, need self-hosted deployment for data-residency reasons, or are optimizing for short-clip transcription costs via per-second billing.Developers who need transcription across more languages, or who want deeper prompt-based control over formatting and domain-specific vocabulary.
Pricing $200 signup credit (expires after 1 year), no permanent free tier / $0.0043/min starting (Nova-3 pre-recorded, PAYG)$50 signup credit (one-time, no recurring free tier) / $0.15/hr starting (Universal-2, PAYG)
Winner Our Pick

Tool Breakdown

Overall Winner
D

Deepgram

For most developers building voice AI or transcription features, Deepgram's larger one-time free credit ($200 vs $50), per-second billing, and self-hosted deployment options give it a slight edge for getting started and controlling costs at scale. Teams whose product needs broader language coverage or deeper prompt-based customization for domain-specific transcription should evaluate AssemblyAI instead — and either way, run both on your own audio before committing, since accuracy benchmarks conflict by source.

What it does well
  • Per-second billing with no rounding up to the minute — meaningfully cheaper for short audio clips than minute-rounded competitors.
  • Documented self-hosted deployment options (bare-metal, VPC, dedicated cloud) for teams with data-residency or compliance requirements.
  • Larger one-time signup credit ($200, ~45,000 minutes of Nova transcription) than AssemblyAI's $50, giving more room to prototype before paying.
Watch out for
  • No recurring free tier — the $200 credit expires one year after signup and doesn't renew.
  • Discounted Growth-tier pricing requires a $4,000+ annual prepayment commitment; there's no mid-tier discount without that spend.
  • Comparison sources (including AssemblyAI's own) describe Deepgram's language support as narrower and more English-focused relative to AssemblyAI's broader set.
Best For Developers who want the larger free credit to start with, need self-hosted deployment for data-residency reasons, or are optimizing for short-clip transcription costs via per-second billing.
Pricing $200 signup credit (expires after 1 year), no permanent free tier / $0.0043/min starting (Nova-3 pre-recorded, PAYG)
A

AssemblyAI

A speech-to-text API with broad language support and prompt-based customization for domain-specific transcription.

What it does well
  • Broader documented language support spanning English (US/UK), Spanish, French, German, Portuguese, Italian, Dutch, Russian, and more.
  • Prompt-based customization goes beyond keyword boosting — a keyterms parameter (up to 1,000 words) plus a separate natural-language prompt (up to 1,500 words) for context and formatting guidance.
  • One independent benchmark (openbenchmarks.com, Coval) measured lower word-error-rate than Deepgram in that specific test, and AssemblyAI's own published figures also claim an accuracy edge.
Watch out for
  • No affiliate program at all — confirmed directly in AssemblyAI's own docs FAQ, a real gap versus Deepgram's self-serve PartnerStack program.
  • Smaller one-time free credit ($50 vs Deepgram's $200), and free-plan concurrency is capped at 5 simultaneous async jobs, which bottlenecks batch workloads.
  • Modular add-on pricing (diarization, entity detection, summarization each add cost) means the advertised $0.15/hour headline rate understates real production cost — closer to $0.28/hour with common add-ons enabled.
Best For Developers who need transcription across more languages, or who want deeper prompt-based control over formatting and domain-specific vocabulary.
Pricing $50 signup credit (one-time, no recurring free tier) / $0.15/hr starting (Universal-2, PAYG)

Frequently Asked Questions

Which speech-to-text API is actually more accurate? +

It depends on which benchmark you trust, and neither vendor's own marketing numbers should be taken at face value. Deepgram's site presents figures favoring its own models, while AssemblyAI's site does the same, and the one independent third-party benchmark found (run by Coval, published on openbenchmarks.com) measured a lower word-error-rate for AssemblyAI (3.1%) than Deepgram (6.3%) in that specific test — but a single benchmark on a single dataset isn't a universal verdict, since accuracy varies by audio quality, accent, background noise, and domain vocabulary. The practical move is to run a representative sample of your own audio through both APIs' free credits before committing, rather than picking based on either vendor's headline accuracy claim.

Why does AssemblyAI's $0.15/hour look so much cheaper than Deepgram, but isn't necessarily? +

AssemblyAI's headline $0.15/hour rate (Universal-2) is a base price before add-ons — features like speaker diarization (+$0.02/hr), entity detection (+$0.08/hr), summarization (+$0.03/hr), and sentiment analysis (+$0.02/hr) all stack on top, and a realistic production setup using several of these commonly runs closer to $0.28/hour effective. Deepgram's pricing is quoted per minute ($0.0043/min for Nova-3 pre-recorded, equivalent to about $0.26/hour) and bills per second with fewer bolt-on feature charges baked into the comparison. Convert both to the same unit (per hour or per minute) and account for the specific features you'll actually use before comparing sticker prices — the gap is smaller than the headline rates suggest, and can go either way depending on your feature mix.

Does either Deepgram or AssemblyAI offer a real ongoing free tier? +

No — both offer only a one-time signup credit, not a recurring monthly free allowance. Deepgram gives $200 in free credit that expires one year after signup (roughly 45,000 minutes of Nova transcription); AssemblyAI gives $50 in free credit with no stated expiration mentioned in available sources, covering roughly 185 hours of pre-recorded transcription. Once either credit is exhausted, you're on pay-as-you-go billing with no free monthly reset. If you need an ongoing zero-cost tier for a side project or low-volume use case, budget for this explicitly rather than assuming either free credit renews.