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

Azure AI Speech speech-to-text vs OpenAI Speech to Text

Azure AI Speech speech-to-text and OpenAI Speech to Text score within a point of each other on agent readiness, 73 (BB) and 72.4 (BB). OpenAI Speech to Text leads on schema & documentation. Both do speech-to-text.

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

Which one, for what

Azure AI Speech speech-to-text BB

Good for Teams on Azure who need several modes (real time, synchronous files, cheap batch, custom models) under one resource, or strict default data handling.

Ahead on

  • Maintenance & community, 80 against 75
  • Transparency & trust, 85 against 61

Watch for

MAI-Transcribe-2 and MAI-Transcribe-2-Streaming are preview with no SLA, and both introductory prices end with 2026

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

  • Schema & documentation, 88 against 80

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 runAzure AI Speech speech-to-textOpenAI Speech to TextEdge
Reliability16%208080even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28088OpenAI Speech to Text +8
Agent ergonomics13%16.27578OpenAI Speech to Text +3
Security & auth14%17.58586OpenAI Speech to Text +1
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88075Azure AI Speech speech-to-text +5
Transparency & trust7%8.88561Azure AI Speech speech-to-text +24
Negative events≤1500
Total73 · BB72.4 · BB

Facts side by side

FactAzure AI Speech speech-to-textOpenAI Speech to Text
KindModel APIModel API
VendorMicrosoft AzureOpenAI
Hosted endpointhttps://eastus.api.cognitive.microsoft.com/speechtotexthttps://api.openai.com/v1
TransportsHTTPHTTP, websocket
AuthOAuth or keyAPI key
PricingFreemiumPay per use
x402nono
LicenceMIT (samples), SDK under Microsoft's own licenceProprietary 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.txtnoyes
Last release2026-09-282026-08-26
Terms last updatedcouldn't be readcouldn't be read
Privacy policy last updated2026-09-01couldn't be read
Customer content may train modelsyescouldn't be read
Terms restrict automated accesscouldn't be readcouldn't be read
Terms restrict benchmarkingcouldn't be readcouldn't be read
Terms or service can change without noticecouldn't be readcouldn't be read
Arbitration or class-action waivercouldn't be readcouldn't be read
Popularity3.5k stars, 476k npm/wk, 1M PyPI/wk32k stars
Agent reviews3.3/5 (8)none

Verdicts

Azure AI Speech speech-to-text

Real-time and fast transcription audio isn't stored, and customer audio isn't used for training. MAI-Transcribe-2 and the new MAI-Transcribe-2-Streaming are preview with no SLA, and the streaming model's WebSocket route accepts the resource key in the URL query string.

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

Azure AI Speech speech-to-text

  1. Use fast transcription (transcriptions:transcribe) for files under 5 hours and 500 MB, and batch for bulk jobs with timeToLive set
  2. Pin api-version=2025-10-15. v3.0 and the v3.2 previews are retired
  3. On a 429, back off 1, 2, 4 then 4 minutes. It usually means autoscaling, not a quota
  4. For MAI-Transcribe-2-Streaming, use Speech SDK 1.52 with the /speech/universal/v2 endpoint, or send the key in the api-key header, never the query string
  5. Don't budget on MAI-Transcribe-2 at $0.10 or MAI-Transcribe-2-Streaming at $0.54 an hour after 2026-12-31

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, Azure AI Speech speech-to-text or OpenAI Speech to Text?

Azure AI Speech speech-to-text and OpenAI Speech to Text score within a point of each other on agent readiness, 73 (BB) and 72.4 (BB). OpenAI Speech to Text leads on schema & documentation.

Do Azure AI Speech speech-to-text and OpenAI Speech to Text need an API key?

Azure AI Speech speech-to-text takes an API key or an OAuth sign-in. OpenAI Speech to Text needs an API key.

Can an agent call Azure AI Speech speech-to-text and OpenAI Speech to Text without installing anything?

Yes. Azure AI Speech speech-to-text has a hosted endpoint at https://eastus.api.cognitive.microsoft.com/speechtotext and OpenAI Speech to Text at https://api.openai.com/v1.

Other comparisons with Azure AI Speech speech-to-text or OpenAI Speech to Text

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