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

Cartesia Ink vs OpenAI Speech to Text

OpenAI Speech to Text scores 72.4 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 3 of 7 scored categories. Cartesia Ink leads on payments & pricing, maintenance & community and transparency & trust. 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

  • Payments & pricing, 35 against 20
  • Maintenance & community, 85 against 75
  • Transparency & trust, 67 against 61

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

OpenAI Speech to Text BB

Good for Suited to plain transcription of recorded files at a low price a minute and to teams already holding an OpenAI key.

Ahead on

  • Reliability, 80 against 73
  • Security & auth, 86 against 52

Also in its favour

  • Agent-ready, a grade of BB or better

Watch for

whisper-1, gpt-4o-transcribe, gpt-4o-mini-transcribe and gpt-4o-transcribe-diarize were deprecated on 26 August 2026 and shut down on 26 February 2027

Score by category

CategoryWeight this runCartesia InkOpenAI Speech to TextEdge
Reliability16%207380OpenAI Speech to Text +7
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28988Cartesia Ink +1
Agent ergonomics13%16.27478OpenAI Speech to Text +4
Security & auth14%17.55286OpenAI Speech to Text +34
Payments & pricing10%12.53520Cartesia Ink +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88575Cartesia Ink +10
Transparency & trust7%8.86761Cartesia Ink +6
Negative events≤1500
Total67.9 · B72.4 · BB

Facts side by side

FactCartesia InkOpenAI Speech to Text
KindModel APIModel API
VendorCartesiaOpenAI
Hosted endpointhttps://api.cartesia.aihttps://api.openai.com/v1
TransportsHTTP, websocket, Streamable HTTPHTTP, websocket
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceProprietary hosted service under the Cartesia Terms of Service. The Python and JavaScript SDKs are Apache-2.0Proprietary hosted service. The service terms were not read (see open questions). The Python SDK is Apache-2.0 and the OpenAPI document is MIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-172026-08-26
Terms last updated2024-06-14couldn't be read
Privacy policy last updated2024-06-14couldn't be read
Customer content may train modelsyes, with an opt-outcouldn't be read
Terms restrict automated accessyescouldn't be read
Terms restrict benchmarkingyescouldn't be read
Terms or service can change without noticenot found in the textcouldn't be read
Arbitration or class-action waiveryescouldn't be read
Popularity134 stars32k 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.

OpenAI Speech to Text

gpt-transcribe costs $0.0045 an audio minute, and the audio endpoints keep no abuse-monitoring logs or application state. Speaker labels, timestamps, subtitles and translation exist only on whisper-1 and gpt-4o-transcribe-diarize, which shut down on 26 February 2027 with no named replacement for those functions.

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.

OpenAI Speech to Text

  1. Send gpt-transcribe to POST /v1/audio/transcriptions for recorded files. Use languages (a list), not language, and never send both.
  2. Keep each upload at 25 MB or less. Split longer audio between sentences and pass the previous chunk's text in prompt.
  3. For speaker labels send gpt-4o-transcribe-diarize with response_format=diarized_json and chunking_strategy=auto for audio over 30 seconds. Plan for its shutdown on 26 February 2027.
  4. Word timestamps, srt, vtt and /v1/audio/translations need whisper-1, which cannot stream and shuts down on the same date.
  5. On 429 or 503 wait at least Retry-After when present, then back off with jitter. Do not retry credit_balance_exhausted or spend-limit errors.

Questions

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

OpenAI Speech to Text scores 72.4 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 3 of 7 scored categories. Cartesia Ink leads on payments & pricing, maintenance & community and transparency & trust.

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

Both need an API key.

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

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

Other comparisons with Cartesia Ink or OpenAI Speech to Text

Machine-readable

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