GPT-5 mini
−30% vs OpenAI
AzureOpenAIGPT-5 mini is a faster, more cost-efficient version of GPT-5. It is good for well-defined tasks and precise prompts. For most new low-latency, high-volume workloads OpenAI recommends starting with GPT-5.6 Terra.
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 tokensThe same model and the same answers through both. We choose the service for each request automatically.
Azure
−30%Only on FlintBeam−30% on every request
Direct on Azure: $0.25 / $2.00
Daily discount. Today's price can change.
OpenAI
−30%Only on FlintBeam−30% on every request
Direct on OpenAI: $0.25 / $2.00
Daily discount. Today's price can change.
More pricing details: speeds
| Speed | Azure | OpenAI |
|---|---|---|
| Flex · slower | — | $0.13 / $1.00 |
| Priority · faster | — | $0.45 / $3.60 |
Context
400,000
up to 128,000 out
128,000 by default here
Modalities
Released
Aug 7, 2025
Knows up to May 31, 2024
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="openai/gpt-5-mini",
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)