Last refreshed 2026-09-02. Next refresh: weekly.
Why use Gemini 3.5 Transcribe on Google AI Studio?
Google AI Studio offers Gemini 3.5 Transcribe with pay-as-you-go pricing at $12.00/1M output tokens. Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.
Compare Gemini 3.5 Transcribe across 2 providers to find the best fit for your use caseSetup recipe
Python + curlpip install google-genaiexport GOOGLE_API_KEY=...import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(gemini-3.5-transcribeRequest example
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)Gotchas
- Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
- The examples expect GOOGLE_API_KEY; rename it only if your application config maps the new variable.
Compare Gemini 3.5 Transcribe Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | — | $12.00 |
| GCP Vertex AI | — | $12.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Output tokens | $12.00 |
| Audio input | $2.00 |
Capabilities
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.