Gemini 2.5 Flash Live
−30% vs Google
Vertex AIGemini 2.5 Flash Live is Google's model for conversations held out loud: it listens to text, sound and video and answers in both speech and text. It carries a 131k context with tool calling, and like every realtime model it is reached over a WebSocket held open for the length of the conversation rather than on the chat endpoint.
The real Google 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 Google’s own page — check it.
Maker's own pagePrice
input / output · per 1M tokensVertex AI
−30%Only on FlintBeam−30% on every request
Direct on Vertex AI: $0.50 / $2.00
Daily discount until 2026-11-30; it can change or end earlier.
Sound
$2.10 / $8.40
Text is priced above; sound is priced here, in and out. Google bills the two apart and so do we.
Context
131,072
up to 8,192 out
8,192 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.
Eligible models may have a daily discount below the maker's price. Daily discounts apply to eligible models and can change from day to day.
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="google/gemini-2.5-flash-live",
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)