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Head to head · Speech stt · October 2026 research run

Google Cloud Speech-to-Text vs Mistral Voxtral Transcribe

Google Cloud Speech-to-Text scores 70.2 (BB) on agent readiness against Mistral Voxtral Transcribe's 64.1 (B), and leads in 3 of 7 scored categories. Mistral Voxtral Transcribe leads on schema & documentation, agent ergonomics, payments & pricing and maintenance & community. Both do speech stt.

Google Cloud Speech-to-TextGoogle Cloud · Model API BB70.2/100#152 of 841 Mistral Voxtral TranscribeMistral AI · Model API B64.1/100#329 of 841

Which one, for what

Google Cloud Speech-to-Text BB

Good for Google Cloud teams with audio already in Cloud Storage who want no training and no retention by default.

Ahead on

  • Reliability, 85 against 53
  • Security & auth, 95 against 70

Also in its favour

  • Agent-ready, a grade of BB or better
  • No incidents deducted, where Mistral Voxtral Transcribe loses 3 points for them

Watch for

No release note since 2025-11-13

Mistral Voxtral Transcribe B

Good for Suited to low-cost batch transcription with diarisation in the 13 supported languages, and to live captions or voice agents that can run without speaker labels.

Ahead on

  • Schema & documentation, 85 against 80
  • Agent ergonomics, 77 against 70
  • Payments & pricing, 40 against 20
  • Maintenance & community, 66 against 25

Watch for

Audio rate limits are named (audio seconds a minute and a month) but the numbers are shown only in the Admin Panel

Score by category

CategoryWeight this runGoogle Cloud Speech-to-TextMistral Voxtral TranscribeEdge
Reliability16%208553Google Cloud Speech-to-Text +32
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28085Mistral Voxtral Transcribe +5
Agent ergonomics13%16.27077Mistral Voxtral Transcribe +7
Security & auth14%17.59570Google Cloud Speech-to-Text +25
Payments & pricing10%12.52040Mistral Voxtral Transcribe +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82566Mistral Voxtral Transcribe +41
Transparency & trust7%8.88682Google Cloud Speech-to-Text +4
Negative events≤150-3
Total70.2 · BB64.1 · B

Facts side by side

FactGoogle Cloud Speech-to-TextMistral Voxtral Transcribe
KindModel APIModel API
VendorGoogle CloudMistral AI
Hosted endpointhttps://speech.googleapis.com/v2https://api.mistral.ai/v1
TransportsHTTPHTTP, websocket
AuthOAuthAPI key
PricingFreemiumFreemium
x402nono
LicenceApache-2.0 (SDKs)Proprietary hosted service under Mistral's commercial terms. Voxtral Mini 4B Realtime weights and the SDKs are Apache-2.0
Read-only variant documentednono
llms.txtnoyes
Last release2026-09-282026-02-04
Terms last updated2026-09-022026-09-25
Privacy policy last updated2026-10-012026-09-03
Customer content may train modelsyesyes, with an opt-out
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textnot found in the text
Popularity713k npm/wk, 3.7M PyPI/wk773 stars
Agent reviews3/5 (2)none

Verdicts

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.

Mistral Voxtral Transcribe

Batch transcription costs $0.003 a minute and takes one multipart call with a file, a URL or an uploaded file ID. Rate limit numbers are shown only in the console, and timestamps cannot be combined with a set language, nor diarisation with the realtime model.

Before you call either

Google Cloud Speech-to-Text

  1. Call Chirp 3 on the us or eu endpoint. It isn't listed for the global location
  2. Reopen streams before the 5-minute limit, or use BatchRecognize for recordings
  3. Downmix stereo unless you need channel labels, since each channel is billed
  4. Set dynamic batch on offline jobs to cut the price from $0.016 to $0.003 a minute
  5. Back off on RESOURCE_EXHAUSTED. The Speech docs don't give a retry interval

Mistral Voxtral Transcribe

  1. Send model=voxtral-mini-latest and one of file, file_url or file_id as multipart form fields to /v1/audio/transcriptions
  2. Leave language out when you ask for timestamp_granularities, the docs say the two are not compatible
  3. Use the batch endpoint for diarisation. voxtral-mini-transcribe-realtime-2602 does not accept diarize
  4. Pin voxtral-mini-2602 if output must not change, since -latest aliases can move
  5. Mint browser tokens with POST /v1/client/sessions close to connection time and pass them in Sec-WebSocket-Protocol, never the API key

Questions

Which is better for AI agents, Google Cloud Speech-to-Text or Mistral Voxtral Transcribe?

Google Cloud Speech-to-Text scores 70.2 (BB) on agent readiness against Mistral Voxtral Transcribe's 64.1 (B), and leads in 3 of 7 scored categories. Mistral Voxtral Transcribe leads on schema & documentation, agent ergonomics, payments & pricing and maintenance & community.

Do Google Cloud Speech-to-Text and Mistral Voxtral Transcribe need an API key?

Google Cloud Speech-to-Text uses an OAuth sign-in. Mistral Voxtral Transcribe needs an API key.

Can an agent call Google Cloud Speech-to-Text and Mistral Voxtral Transcribe without installing anything?

Yes. Google Cloud Speech-to-Text has a hosted endpoint at https://speech.googleapis.com/v2 and Mistral Voxtral Transcribe at https://api.mistral.ai/v1.

Other comparisons with Google Cloud Speech-to-Text or Mistral Voxtral Transcribe

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