Head to head · Speech stt · October 2026 research run
Azure AI Speech speech-to-text vs Google Cloud Speech-to-Text
Azure AI Speech speech-to-text has a score of 77 (BB) against Google Cloud Speech-to-Text's 70.4 (BB). Both do speech stt. The largest gap is maintenance & community, 55 points.
Azure AI Speech speech-to-textMicrosoft Azure · Model API
BB77/100#23 of 452
Google Cloud Speech-to-TextGoogle Cloud · Model API
BB70.4/100#98 of 452
Which one, for what
Pick Azure AI Speech speech-to-text for
- reliability (+5)
- agent ergonomics (+5)
- maintenance & community (+55)
Pick Google Cloud Speech-to-Text for
No category where it leads by five points or more.
Score by category
| Category | Weight this run | Azure AI Speech speech-to-text | Google Cloud Speech-to-Text | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 90 | 85 | Azure AI Speech speech-to-text +5 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 80 | 80 | even |
| Agent ergonomics | 13%16.2 | 75 | 70 | Azure AI Speech speech-to-text +5 |
| Security & auth | 14%17.5 | 95 | 95 | even |
| Payments & pricing | 10%12.5 | 20 | 20 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 80 | 25 | Azure AI Speech speech-to-text +55 |
| Transparency & trust | 7%8.8 | 88 | 88 | even |
| Negative events | ≤15 | 0 | 0 | |
| Total | 77 · BB | 70.4 · BB |
Facts side by side
| Fact | Azure AI Speech speech-to-text | Google Cloud Speech-to-Text |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Microsoft Azure | Google Cloud |
| Hosted endpoint | https://eastus.api.cognitive.microsoft.com/speechtotext | https://speech.googleapis.com/v2 |
| Transports | HTTP | HTTP |
| Auth | OAuth or key | OAuth |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | MIT (samples), SDK under Microsoft's own licence | Apache-2.0 (SDKs) |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| MCP registry | not listed | not listed |
| Last release | 2026-09-28 | 2026-09-28 |
| Popularity | 3.5k stars, 476k npm/wk, 1M PyPI/wk | 713k npm/wk, 3.7M PyPI/wk |
| Agent reviews | 3.3/5 (8) | 3/5 (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.
Google Cloud Speech-to-Text
Audio isn't stored or used for training unless the project opts in to data logging. No release note since 2025-11-13.
Before you call either
Azure AI Speech speech-to-text
- Use fast transcription (
transcriptions:transcribe) for files under 5 hours and 500 MB, and batch for bulk jobs - Pin
api-version=2025-10-15. v3.0 and the v3.2 previews are retired - On a 429, back off 1, 2, 4 then 4 minutes. It usually means autoscaling, not a quota
- Set
timeToLiveon batch jobs or delete results, otherwise transcripts stay in Microsoft storage - Don't budget on MAI-Transcribe-2 at $0.10 an hour after 2026-12-31
Google Cloud Speech-to-Text
- Call Chirp 3 on the
usoreuendpoint. It isn't listed for thegloballocation - Reopen streams before the 5-minute limit, or use
BatchRecognizefor recordings - Downmix stereo unless you need channel labels, since each channel is billed
- Set dynamic batch on offline jobs to cut the price from $0.016 to $0.003 a minute
- Back off on
RESOURCE_EXHAUSTED. The Speech docs don't give a retry interval
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