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Speech-to-text API comparison

Compare Soniox, Deepgram, AssemblyAI, OpenAI, Google, Azure, and Speechmatics side by side, on the same audio, in real time. See accuracy, latency, multilingual handling, and feature differences.

Why compare STT providers

Not all speech-to-text systems handle real-world audio the same way. The differences become clear when you test the conditions production systems face daily.

Accents get misheard by some providers and transcribed accurately by others. Overlapping speakers blur into a single stream. Conversations that switch languages mid-sentence fall apart. Background noise and domain-specific terms trip up models that look solid in clean demos. And latency varies wildly, some providers stream word by word, others deliver transcripts in laggy chunks that make real-time interfaces feel broken.

This comparison tool lets you hear exactly how each provider transcribes the same audio, side by side. No marketing claims. Just direct, real-time transcription on the inputs that matter for your use case.

The above demo isn’t static. It’s a real call to every provider’s API, in real time. We did our best to make every provider do its best. We built this framework because so many of our customers had to do this comparison themselves, and then chose Soniox. We open sourced it, so you can see and use the code yourself.

Everything you see here is reproducible. The full framework is open-source.

graph_8Fork it on Github

How to evaluate a speech-to-text API

Accents and real-world audio

Many providers perform well on clean English and fall apart on regional accents, background noise, and everyday microphones. Play the same clip through each API and listen for words that change depending on the speaker.

Accents and real-world audio

Language switching mid-sentence

People mix languages in a single utterance. Some providers require you to pick one language per request. Others detect the shift and transcribe every word in the correct language, with no manual switching.

Language switching mid-sentence

Alphanumerics and domain terms

Phone numbers, reference IDs, and specialized vocabulary are where accuracy breaks down. Watch how each provider handles digits, codes, and technical terms — the details your product actually depends on.

Alphanumerics and domain terms

Real-time streaming latency

For live interfaces, delay is a feature, not a detail. Some providers stream word by word with sub-200ms latency. Others return transcripts in laggy chunks that make voice agents and conversational apps feel broken.

Real-time streaming latency

Feature comparison

Feature coverage decides whether a speech-to-text API can actually power your product. Multilingual handling, speaker separation, translation, and data-residency support all live in this layer.

The table below compares Soniox against Deepgram, AssemblyAI, OpenAI Whisper, Google Cloud Speech-to-Text, Microsoft Azure Speech, and Speechmatics across the capabilities that matter in production: a single multilingual model versus per-language models, language hints and automatic language identification, speaker diarization, real-time one-way and two-way translation, word-level timestamps and confidence scores, endpoint detection, manual finalization, and sovereign-cloud deployment for data residency.

Speech-to-text API pricing comparison

Headline rates don't tell the whole story. Some providers bundle features like diarization, translation, and language identification; others charge for each add-on separately. Some have one flat price; others have a tiered model where the cheap tier loses the features you actually need in production.

The table below shows publicly listed rates as of May 2026, with sources linked. Always factor in add-ons, multichannel billing, and concurrency limits for your actual use case.

ProviderReal-time / streamingBatch / asyncTranslation includedDiarization
Soniox
$0.12/hr$0.10/hrYes, real-time across 60+ languagesIncluded
Token-based pricing; all features bundled. Source: Soniox pricing page
Deepgram
Multilingual:
$0.348/hr ($0.0058/min)
Monolingual:
$0.288/hr ($0.0048/min)
Multilingual:
$0.552/hr ($0.0092/min)
Monolingual:
$0.462/hr ($0.0077/min)
Not included
(separate service required)
Add-on:
+$0.12/hr ($0.0020/min)
Add-ons priced separately: Redaction +$0.12/hr, Keyterm Prompting +$0.078/hr. Smart formatting included. Source: Deepgram pricing page
AssemblyAI
Universal-3 Pro Streaming (6 languages):
$0.45/hr
Universal-Streaming (English only):
$0.15/hr
Universal-3 Pro:
$0.21/hr
Universal-2:
$0.15/hr
Add-on:
+$0.06/hr
Batch add-on:
+$0.02/hr
Streaming add-on:
+$0.12/hr
Strong audio intelligence add-ons (summarization $0.03/hr, sentiment $0.02/hr, topic detection $0.15/hr). Source: AssemblyAI pricing page
OpenAI
Not natively streaming
(Realtime API is a separate product)
GPT-4o Transcribe & Whisper:
$0.36/hr ($0.006/min)
GPT-4o Mini Transcribe:
$0.18/hr ($0.003/min)
Not includedNot native
(GPT-4o Transcribe Diarize variant exists at same base rate)
25 MB upload limit per request. Whisper also available open-source for self-hosting. Source: OpenAI pricing page
Google Cloud
Standard (first 500K min/month):
$0.96/hr ($0.016/min)
Above 2M min/month:
$0.24/hr ($0.004/min)
Dynamic Batch:
$0.18/hr ($0.003/min)
Not included
(separate Cloud Translation API required)
Separate billing
Each audio channel billed separately. Medical models $4.68/hr ($0.078/min). Source: Google Cloud pricing page
Azure
Standard real-time:
$1.00/hr
Custom real-time:
$1.20/hr
Standard batch:
$0.18/hr
Fast transcription:
$0.36/hr
Billed separately:
$2.50/hr
Real-time add-on:
+$0.30/hr
Batch: included
Commitment tiers can drop standard to ~$0.50/hr at 50K hrs/year. Source: Azure pricing page
Speechmatics
Pro tier:
From $0.24/hr
Pro tier:
From $0.24/hr
Add-on (limited language pairs)Included
Free tier 480 min/month. 20% volume discount above 500 hrs/month. Pro tier capped at 6,000 hrs/month. Source: Speechmatics pricing page

What this means for cost?

For real-time streaming with the features most production apps need (diarization, multilingual handling, and translation) Soniox at $0.12/hr is between 2× and 8× cheaper than the alternatives once their add-ons and required services are factored in. The cheapest headline rate isn't always the cheapest total. Deepgram Nova-3 monolingual streaming looks like $0.288/hr, but it doesn't include translation, diarization adds another $0.12/hr, and you need the more expensive multilingual model ($0.348/hr) the moment your users speak anything other than English.

What this means for features?

Soniox is the only provider in this list that includes real-time transcription, translation, diarization, language identification, and multilingual handling in a single hourly rate. AssemblyAI is the closest match on features but starts at $0.45/hr for the multilingual streaming model. Speechmatics is competitive on price but caps Pro-tier usage at 6,000 hrs/month, which limits scale without an enterprise contract.

All prices reflect publicly listed rates as of May 2026, sourced from each provider's official pricing page. Per-minute rates are converted to per-hour for comparison. Where providers offer tiered or volume pricing, the most commonly used production tier is shown. Enterprise contracts, committed-use discounts, and regional pricing may differ. Add-on features (diarization, redaction, custom vocabulary, language identification, translation) are priced separately by most providers; we've called out the most common ones, but actual cost depends on which features you enable. We update this table when providers change their public pricing — if anything here is out of date, please let us know at support@soniox.com.

Frequently asked questions

What is the most accurate speech-to-text API?arrow_downward
Accuracy depends on language, audio condition, and content type, so there is no single winner across the board. English-only batch tends to favour providers that train heavily on English data, while multilingual conversations, mixed-language speech, names, and alphanumerics are where Soniox is built to lead. In a 2025 study across 60 languages and real-world YouTube audio, Soniox reached 6.5% WER in English compared with 9.3% for Deepgram and 11.1% for AssemblyAI. The fastest way to judge it for your audio is the side-by-side comparison above.
What is the cheapest speech-to-text API?arrow_downward
Headline rates do not tell the full story. Many providers charge separately for translation, diarization, language packs, or real-time access, so the all-in cost is what matters. Soniox includes transcription, real-time translation, speaker diarization, timestamps, and confidence in one rate starting at $0.10 per hour async and $0.12 per hour streaming.
Which speech-to-text API supports the most languages?arrow_downward
Soniox real-time STT supports 60+ languages in a single model with native-speaker accuracy, automatic language identification, and mid-sentence language switching. Several providers list similar language counts, but accuracy drops sharply outside their top-tier languages, and they often require swapping models per language instead of one unified stream.
What is the best speech-to-text API for voice agents?arrow_downward
Voice agents need low-latency streaming, mid-sentence finalization, accurate handling of names and alphanumerics, and resilience to mid-conversation language switching. Soniox is built for that combination across 60+ languages and ships native integrations for Pipecat and LiveKit. See the voice agents use case for more.
What is the best speech-to-text API for call centers?arrow_downward
Call centers need accurate speaker diarization, precision on account IDs and phone numbers, multilingual support for international queues, and predictable pricing at scale. Soniox includes diarization and real-time translation in one price and offers regional deployment in the US, EU, and JP for data residency. See the call center use case for details.
Deepgram vs AssemblyAI: which is better?arrow_downward
They lead in different areas. Deepgram targets English-first real-time at low cost, while AssemblyAI is known for bolt-on audio intelligence features. Neither is built primarily for real-time multilingual production. If multilingual real-time matters, compare both against Soniox: Soniox vs Deepgram and Soniox vs AssemblyAI.
Deepgram vs Soniox: which is better?arrow_downward
Deepgram is competitive on English-only transcription at low cost. Soniox leads on native-speaker accuracy across 60+ languages, real-time translation built into the same STT stream, mixed-language speech, and alphanumeric precision, with translation, diarization, and timestamps bundled in one price. Full side-by-side: Soniox vs Deepgram.
AssemblyAI vs OpenAI Whisper: which is better?arrow_downward
AssemblyAI is a managed API with audio intelligence features. OpenAI Whisper is an open model you can self-host, but it does not stream out of the box and you own the production infrastructure. Neither is built for real-time multilingual production, so it is worth comparing both against Soniox: Soniox vs AssemblyAI and Soniox vs OpenAI.
Is OpenAI Whisper better than Deepgram?arrow_downward
They solve different problems. Whisper is open-source and covers many languages for batch transcription but does not stream natively. Deepgram is a managed real-time API focused on English-first low-cost transcription. For real-time multilingual production, see Soniox vs OpenAI and Soniox vs Deepgram.
Which speech-to-text API has the lowest latency?arrow_downward
Real-time streaming APIs target sub-second token latency, but the metric that matters for voice agents is time-to-finalised-word and reliable mid-sentence endpointing. Soniox real-time STT streams tokens word by word with mid-sentence finalization on stt-rt-v4. Hear the difference on the comparison tool above with your own audio.
Which speech-to-text API supports real-time translation?arrow_downward
Soniox real-time translation ships as a built-in extension of the same STT stream, in 60+ target languages, returning original and translated text side by side as the speaker talks. Most other providers either do not offer translation or require a separate translation service stitched on top of transcription.
Can I self-host a speech-to-text API?arrow_downward
OpenAI Whisper is open-source and can be self-hosted, but you take on production infrastructure, streaming, and scaling yourself. Soniox offers on-premises deployment and regional cloud deployment in the US, EU, and JP for enterprises that need data residency without giving up real-time performance.

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