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AI model

Gemini 3.5 Transcribe

Google's speech-to-text model, available as a streaming live endpoint and a pre-recorded endpoint, with filler removal, formatting, and speaker attribution.

Known aliases

  • 3.5 Transcribe
  • Gemini 3.5 Transcribe
  • gemini-3.5-transcribe
  • Gemini 3.5 Transcribe Live
  • gemini-3.5-transcribe-live

Current stories

buildConfirmed6 publishers

Google splits transcription in two, and quietly absorbs your cleanup layer

Gemini 3.5 Transcribe ships as a sub-second streaming endpoint and a batch one, with filler-word removal and formatting inside the model. The catalog and the pricing page have not caught up.

Perspective Coverage

6 publishers
Builder
Builder 48%
Operator
Operator 36%
Investor
Investor 16%

Reality

Evidence55
Adoption35
Hype gap+25
Incentives70
Confidence60
buildOne report1 publisher

Gemini 3.8 Live Extended Thinking Can Send turnComplete While the Model Is Still Reasoning

Google's September 15 release pairs a fast speech-to-speech model with one that narrates its own reasoning aloud while tools run. Clients now have to read interactionStatus to know when a turn is actually over.

Publishers:dev.to

Reality

Evidence30
Adoption20
Hype gap+12
Incentives60
Confidence35
buildOne report1 publisher

Google introduces two Gemini 3.8 Live audio models, one for high-volume chats and one for complex reasoning

Google positions one live model for high-volume conversation and the other for reasoning that continues while the user is still talking. The product page describes both without performance measurements, token costs or latency figures.

Publishers:dev.to

Reality

Evidence22
Adoption10
Hype gap+15
Incentives70
Confidence35
investOne report1 publisher

Microsoft's 10-cent transcription hour undercuts its own prior pricing, requiring rivals at the old rate to find 3.6 times the volume

The early-bird rate on MAI-Transcribe-2 sits 72% below the line's April price, which saves a 100,000-hour buyer $26,000 a year and takes 26 cents out of every 36 a standalone vendor charged for the same hour.

Publishers:pivotnews.ai

Reality

Evidence44
Adoption21
Hype gap+33
Incentives74
Confidence45
productOne report1 publisher

Meta folds speaker labeling and endpointing into one streaming transcription model

Muse Voice Transcribe claims diarization, endpointing and mid-sentence language switching in a single pass at $3 per 1,000 audio minutes, which makes the buying question less about accuracy scores than about which 25 languages Meta validated.

Publishers:engadget.com

Reality

Evidence30
Adoption38
Hype gap+42
Incentives78
Confidence45
leadershipOne report1 publisher

Meta prices streaming transcription at a fifth of Google Cloud's standard rate

Muse Voice Transcribe's benchmark lead rests on three-tenths of a point across about eight hours of English audio, which is thinner evidence than the $0.18 hourly rate sitting underneath it.

Publishers:implicator.ai

Reality

Evidence58
Adoption28
Hype gap+24
Incentives68
Confidence60