Using Gemini 3.5 Transcribe on Google AI Studio

Implementation guide · Gemini 3.5 · Google DeepMind

Serverless

Google AI Studio exposes Gemini 3.5 Transcribe through model ID gemini-3.5-transcribe. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-02. Next refresh: weekly.

Quick Start

1
Create an account at Google AI Studio and generate an API key.
2
Use the Google AI Studio SDK or REST API to call gemini-3.5-transcribe — see the documentation for request format.
3
You'll be billed $12.00/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install google-genai

API key

GOOGLE_API_KEY

Model ID

gemini-3.5-transcribe

Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".

import os
from google import genai

client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
    model="gemini-3.5-transcribe",
    contents="Hello"
)
print(response.text)

Pricing on Google AI Studio

Type	Price (per 1M)
Output tokens	$12.00
Audio input	$2.00

Capabilities

Audio

About Gemini 3.5 Transcribe

Gemini 3.5 Transcribe is Google DeepMind's speech-to-text model for audio files. Use gemini-3.5-transcribe for pre-recorded recordings when speaker diarization and word-level timestamps matter; use its documented gemini-3.5-transcribe-live access endpoint through the Live API for continuous, bidirectional streaming transcription. The model accepts audio and text within a 96K-token context and returns text with up to 32K output tokens.

Full model details →

Model Specs

Released2026-08-26

Context98k

Knowledge cutoff2025-01