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gpt-live-transcribe
OpenAI · gpt-live-transcribe
GPT Live Transcribe — رونویسی زندهٔ گفتار به متن با تأخیر کم (Azure)
Starting price
4,320
per minute of audio
Billing
Pay as you go
Service status
Active
About gpt-live-transcribe
GPT Live Transcribe — رونویسی زندهٔ گفتار به متن با تأخیر کم (Azure)
gpt-live-transcribe pricing
Billed by the minutes of audio
4,320
per minute of audio
259,182 per hour
One flat rate per minute of audio in the session — no separate output, cache or token charges.
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Sample code and API for gpt-live-transcribe
Point the base URL at CupAI and use your own API key; the rest of the request stays exactly as it is in any compatible client.
# npm i -g wscat
wscat -c 'wss://api.cupai.ir/v1/realtime?model=gpt-live-transcribe' \
-H 'Authorization: Bearer $CUPAI_API_KEY'
# then send, in order:
# {"type":"session.update","session":{"type":"realtime"}}
# {"type":"response.create"}Replace CUPAI_API_KEY with your own key.
Create an API key
Frequently asked questions about gpt-live-transcribe
- How is using gpt-live-transcribe charged?
- This model is billed by the minute of audio, not by tokens: one flat per-minute rate covers the session, with no separate output, cache or token charges. The per-minute rate is in the price table on this page and is deducted from your wallet.
- How do I connect to gpt-live-transcribe?
- Point the base URL at CupAI, put your API key in the request header, and send the model id in the request body. Ready-made samples are on this page.
- How do payments work?
- Payments are in Toman and need no foreign credit card. Credit you buy can be spent on any available model.
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How model pricing works
Every AI model strikes a different balance between speed, answer quality and cost. Flagship models suit complex reasoning, long-document analysis and precise code generation, while lighter models cost considerably less for summarising, classification and short answers. The list above shows each model's rate broken down by input token, output token and cache, so you can estimate the cost of your workload before you start.
A token is the smallest unit of text a model processes; roughly speaking a thousand tokens is about 750 English words. The cost of a request is the sum of its input and output tokens, so shortening your prompt and capping the response length reduces cost directly. Some models have a second price tier for very long inputs, which reprices the entire request once it crosses a stated threshold.