GPT Realtime 2
OpenAIGPT Realtime 2 widens the live-voice family to a 128k context and answers of up to 32k — four times what the first generation held. It takes sound, text and pictures, answers in speech over a WebSocket, and calls tools in the middle of a conversation.
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 32,000 out
32,000 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-realtime-2",
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)