/v1/audio/transcriptionsSpeech to text| Rate | USD per unit |
|---|---|
| InputAudio | $0.0001 USD per audio second |
transcribe-1-proFish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.
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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 | $0.0001 USD per audio second |
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="transcribe-1-pro", 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="transcribe-1-pro",# 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.
See how this model compares to others from the same provider.
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