Head to head · Speech-to-text · October 2026 research run

Cartesia Ink vs Groq Speech-to-Text

Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 5 of 7 scored categories. Cartesia Ink leads on schema & documentation and maintenance & community. Both do speech-to-text.

Best speech-to-text APIs for AI agents · All 91 stt comparisons

Which one, for what

Cartesia Ink B

Good for Suited to voice agents that need turn detection and transcription from one model in English, French, Hindi, Japanese or Spanish, and to teams already using Cartesia text-to-speech.

Ahead on

  • Schema & documentation, 89 against 58
  • Maintenance & community, 85 against 68

Watch for

The terms let Cartesia train models on inputs and outputs unless otherwise agreed. Opting out is a form in the Playground's data controls

Groq Speech-to-Text BB

Good for Suited to cheap, fast transcription of recorded files in many languages, and to agents that already hold a Groq key or use an OpenAI-compatible client.

Ahead on

  • Reliability, 90 against 73
  • Security & auth, 79 against 52
  • Payments & pricing, 40 against 35
  • Transparency & trust, 85 against 67

Also in its favour

  • Agent-ready, a grade of BB or better
  • Free to start without a card

Watch for

No streaming or realtime endpoint and no diarisation in the reviewed documentation

Score by category

CategoryWeight this runCartesia InkGroq Speech-to-TextEdge
Reliability16%207390Groq Speech-to-Text +17
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28958Cartesia Ink +31
Agent ergonomics13%16.27475Groq Speech-to-Text +1
Security & auth14%17.55279Groq Speech-to-Text +27
Payments & pricing10%12.53540Groq Speech-to-Text +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88568Cartesia Ink +17
Transparency & trust7%8.86785Groq Speech-to-Text +18
Negative events≤1500
Total67.9 · B71.8 · BB

Facts side by side

FactCartesia InkGroq Speech-to-Text
KindModel APIModel API
VendorCartesiaGroq
Hosted endpointhttps://api.cartesia.aihttps://api.groq.com/openai/v1
TransportsHTTP, websocket, Streamable HTTPHTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicenceProprietary hosted service under the Cartesia Terms of Service. The Python and JavaScript SDKs are Apache-2.0Proprietary hosted service under the Groq Services Agreement. The SDKs are Apache-2.0 and the Whisper weights are published by OpenAI on Hugging Face
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-172026-08-26
Terms last updated2024-06-142026-06-22
Privacy policy last updated2024-06-142025-11-12
Customer content may train modelsyes, with an opt-outnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesyes
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waiveryesnot found in the text
Popularity134 stars621 stars

Verdicts

Cartesia Ink

Ink 2 streams transcripts with turn detection built into the model, documented by an AsyncAPI file with typed ranges and structured errors. The terms, last revised 14 June 2024, let Cartesia train on inputs and outputs unless the customer opts out, and zero data retention is an Enterprise setting. Ink 2 has no batch endpoint and no diarisation.

Groq Speech-to-Text

Whisper Large v3 Turbo costs $0.04 an audio hour and Whisper Large v3 $0.111, with a no-card free plan and zero data retention as a self-serve setting. There is no streaming endpoint, no diarisation and no subtitle output, and uploads stop at 25 MB on the free plan and 100 MB on the Developer plan.

Before you call either

Cartesia Ink

  1. Use wss://api.cartesia.ai/stt/turns/websocket with model=ink-2, encoding, sample_rate and cartesia_version=2026-08-14. All four are required.
  2. Send raw mono audio in chunks of about 100 ms at the speed it was spoken. Pushing a whole file into the socket can return an internal server error.
  3. Read the final text from turn.end only. transcript is cumulative within a turn, so joining turn.update events duplicates text.
  4. Send {"type": "close"} after the last audio and keep reading until the server closes the socket, or the buffered tail is lost.
  5. Check encoding and sample_rate against the source before sending. The docs say the server might not return an error when they are wrong.

Groq Speech-to-Text

  1. Send whisper-large-v3-turbo for transcription and whisper-large-v3 for translation to English. The translations endpoint does not accept Turbo.
  2. Pass url instead of file for audio over 25 MB, and split anything over the plan's size limit into overlapping chunks before sending.
  3. Set response_format to verbose_json before asking for timestamp_granularities[]. Word timestamps add latency, segment timestamps do not.
  4. Every request is billed as at least 10 seconds of audio, so join very short clips where the task allows.
  5. Read retry-after on a 429 and back off. Audio limits count seconds an hour and a day as well as requests.

Questions

Which is better for AI agents, Cartesia Ink or Groq Speech-to-Text?

Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 5 of 7 scored categories. Cartesia Ink leads on schema & documentation and maintenance & community.

Do Cartesia Ink and Groq Speech-to-Text need an API key?

Both need an API key.

Can an agent call Cartesia Ink and Groq Speech-to-Text without installing anything?

Yes. Cartesia Ink has a hosted endpoint at https://api.cartesia.ai and Groq Speech-to-Text at https://api.groq.com/openai/v1.

Other comparisons with Cartesia Ink or Groq Speech-to-Text

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