GPT Audio
OpenAIGPT Audio is a chat model that answers in a voice: text or a recording goes in, and both the spoken answer and a transcript of it come back. Unlike the realtime family it runs on the ordinary chat endpoint, with a 128k context, answers up to 16k and tool calling.
The real OpenAI model
Same weights, same API, same answers. We change only how you pay for it: one key for every maker, one bill, no separate account to open. Every figure on this page comes from OpenAI’s own page — check it.
Maker's own pagePrice
input / output · per 1M tokensOpenAI
Official price
Sound
$32.00 / $64.00
Text is priced above; sound is priced here, in and out. OpenAI bills the two apart and so do we.
Context
128,000
up to 16,384 out
16,384 by default here
Modalities
What it would cost you
1000 tokens is roughly 750 English words.
How it is served
Requests are retried automatically if a provider is unavailable.
Similar models
Models built for the same kind of work, at a similar price.
We do not mark up the price of tokens. It is the same price the maker charges.
Use it from your code
from openai import OpenAI
# Works with the official openai package (pip install openai)
client = OpenAI(
base_url="https://api.flintbeam.com/v1",
api_key="sk-live-your-api-key"
)
response = client.chat.completions.create(
model="openai/gpt-audio",
messages=[
{"role": "system", "content": "You are an experienced software engineer."},
{"role": "user", "content": "Describe the architecture of a distributed cache."}
],
temperature=0.7,
max_tokens=1500
)
print(response.choices[0].message.content)