/v1/audio/transcriptionsSpeech to text| Rate | USD per unit |
|---|---|
| InputAudio | $0.000075 USD per audio second |
gpt-transcribeOpenAI GPT Transcribe speech-to-text. Billed per second of audio.
Status information temporarily unavailable
Apertis cannot confirm the current service state. This is not a report that the model is down.
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 | $0.000075 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="gpt-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="gpt-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.
GPT Transcribe is developed by OpenAI.
Use the model ID gpt-transcribe to call GPT Transcribe.
See how this model compares to others from the same provider.
OpenAI GPT Image 2.6 Flare. Billed by tokens at OpenAI's price: text input US$5, image input US$8 and image output US$30 per 1M tokens.
OpenAI GPT Image 2.5 Sunburst. Billed by tokens at OpenAI's price: text input US$5, image input US$8 and image output US$30 per 1M tokens.
OpenAI GPT Image 2.5 Flare. Billed by tokens at OpenAI's price: text input US$5, image input US$8 and image output US$30 per 1M tokens.
GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost.