Gemini 3.5 Transcribe: audio pricing, latency and capabilities
Prices from official vendor price lists · October 2026
Gemini 3.5 Transcribe is billed per minute of audio rather than per million tokens, so the token columns in the table do not apply.
Capabilities
Price / mo
API only
Gemini 3.5 Transcribe 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, web search grounding, structured JSON output. 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
How Gemini 3.5 Transcribe sits against its neighbours in this rating. Tap a card to open that model.
Good and poor fit
Good fit
- High-volume routing, classification and autocomplete.
- General text generation and conversation across languages.
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
Batch API146 models with half-price async processing
Free tier86 models with a free API allowance
Low latency76 small, fast models for volume
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 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?
Not published by the vendor.
What can Gemini 3.5 Transcribe do?
In this rating it is recorded with: audio, adjustable thinking, speech-to-text, web search grounding, structured JSON output, batch API, priority / fast tier, free tier, low latency, multilingual, proprietary API.
Is Gemini 3.5 Transcribe 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
By capabilityReasoningCodingVisionLong context 1M+Free tierOpen weightsLow latencyRealtime voiceImage generation
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