/v1/audio/transcriptionsSpeech to text| Rate | USD per unit |
|---|---|
| InputAudio | $0.000002 USD per token |
| OutputText | $0.000012 USD per token |
Cached input tokens are charged at the full configured customer input rate.
gemini-3.5-transcribeGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.
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Base rates shown at GroupRatio=1. Your account's group multiplier may change the final charge.
/v1/audio/transcriptionsSpeech to text| Rate | USD per unit |
|---|---|
| InputAudio | $0.000002 USD per token |
| OutputText | $0.000012 USD per token |
Cached input tokens are charged at the full configured customer input rate.
Actual settled usage is deducted from your Apertis credit quota.
Select an endpoint and copy a working example for this model.
from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="gemini-3.5-transcribe", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="gemini-3.5-transcribe",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )modelfilelanguagepromptresponse_formattemperaturetimestamp_granularitiesUse these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
Gemini 3.5 Transcribe has a context window of 98.3K tokens.
Gemini 3.5 Transcribe is developed by Google.
Use the model ID gemini-3.5-transcribe to call Gemini 3.5 Transcribe.
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