Gemini 3.5 Transcribe Live: audio pricing, latency and capabilities

Prices from official vendor price lists · October 2026

Gemini 3.5 Transcribe Live is billed per minute of audio rather than per million tokens, so the token columns in the table do not apply.

Capabilities
AudioAdjustable thinkingSpeech-to-text
Price / mo
API only

Gemini 3.5 Transcribe Live is an AI model from Google DeepMind. The vendor does not publish a public per-token price, so the cost cells are left empty rather than guessed.

Capabilities recorded in this rating: audio, adjustable thinking, speech-to-text, realtime voice, web search grounding. Access is through the API rather than a consumer subscription.

API priceNot publishedper 1M tokens, in / out
ContextNot publishedtokens per conversation
VendorGoogle DeepMindall models from this vendor
TierUnpricedno public rate card

Compared with alternatives

Good and poor fit

Good fit
  • Live voice conversation where turn-taking latency matters.
  • High-volume routing, classification and autocomplete.
Poor fit
  • Long multi-step reasoning, where a larger model finishes in fewer attempts.
  • Anything requiring image input — this model does not accept it.
  • Integrations that depend on structured function calls.

Related filters

Adjustable thinking85 models with a reasoning depth dial
Speech-to-textTranscription with diarisation and timestamps
Realtime voice7 models for live voice conversation
Batch API146 models with half-price async processing
Free tier86 models with a free API allowance
Google DeepMind17 models from this vendor
All 245 modelsThe full rating with filters and prices

Frequently asked questions

How much does Gemini 3.5 Transcribe Live cost?

Google DeepMind does not publish a public per-token rate for this model, so the price cells here are empty rather than estimated.

What is the context window of Gemini 3.5 Transcribe Live?

Not published by the vendor.

What can Gemini 3.5 Transcribe Live do?

In this rating it is recorded with: audio, adjustable thinking, speech-to-text, realtime voice, web search grounding, structured JSON output, batch API, priority / fast tier, free tier, low latency, multilingual, proprietary API.

Is Gemini 3.5 Transcribe Live a good choice?

It depends on the job. See the good-fit and poor-fit lists above, and compare against the neighbouring models before committing.

Frequently searched

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