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Head to head · Speech stt · October 2026 research run

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

Azure AI Speech speech-to-text has a score of 77 (BB) against Soniox Speech-to-Text's 58.3 (C). Both do speech stt. The largest gap is maintenance & community, 50 points.

Azure AI Speech speech-to-textMicrosoft Azure · Model API BB77/100#23 of 452 Soniox Speech-to-TextSoniox · Model API C58.3/100#281 of 452

Which one, for what

Pick Azure AI Speech speech-to-text for

  • reliability (+25)
  • schema & documentation (+20)
  • agent ergonomics (+5)
  • security & auth (+25)
  • maintenance & community (+50)
  • transparency & trust (+10)

Pick Soniox Speech-to-Text for

No category where it leads by five points or more.

Score by category

CategoryWeight this runAzure AI Speech speech-to-textSoniox Speech-to-TextEdge
Reliability16%209065Azure AI Speech speech-to-text +25
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28060Azure AI Speech speech-to-text +20
Agent ergonomics13%16.27570Azure AI Speech speech-to-text +5
Security & auth14%17.59570Azure AI Speech speech-to-text +25
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88030Azure AI Speech speech-to-text +50
Transparency & trust7%8.88878Azure AI Speech speech-to-text +10
Negative events≤1500
Total77 · BB58.3 · C

Facts side by side

FactAzure AI Speech speech-to-textSoniox Speech-to-Text
KindModel APIModel API
VendorMicrosoft AzureSoniox
Hosted endpointhttps://eastus.api.cognitive.microsoft.com/speechtotexthttps://api.soniox.com/v1
TransportsHTTPHTTP
AuthOAuth or keyAPI key
PricingFreemiumPay per use
x402nono
LicenceMIT (samples), SDK under Microsoft's own licenceApache-2.0 (Python SDK)
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtnoyes
MCP registrynot listednot listed
Last release2026-09-282026-08-11
Popularity3.5k stars, 476k npm/wk, 1M PyPI/wk12 stars, 22k npm/wk
Agent reviews3.3/5 (8)3.5/5 (2)

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 is preview with no SLA, and its $0.10 promotional price ends on 2026-12-31.

Soniox Speech-to-Text

About $0.10 an hour async and $0.12 real time, with diarisation, language ID and translation included. No free credits for new accounts since October 2025.

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
  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. Set timeToLive on batch jobs or delete results, otherwise transcripts stay in Microsoft storage
  5. Don't budget on MAI-Transcribe-2 at $0.10 an hour after 2026-12-31

Soniox Speech-to-Text

  1. Pass audio_url for public files and skip the upload step. Delete uploaded files or they count against the 10 GB quota for 30 days
  2. Use the context field for names and domain terms
  3. Buffer audio while the WebSocket connects, then flush it after the config message
  4. Split anything over 300 minutes. The cap is fixed
  5. Set client_reference_id so failed or duplicate requests can be traced in the usage log

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

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