Google’s newest Flash: near-flagship coding at Flash speed. Priced in Australian dollars for teams in Australia, on the same key as every other model.
In Australian dollars, the currency your card is charged in, with the published US dollar rate beside each.
For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost A$9.08 — a long prompt and a page of answer each. Every rate is published and stays the same from one request to the next. See every model.
Prices are our published US dollar rates converted at A$1.47 to the dollar, our rate for October — the same rate your card is charged.
Gemini 3.8 Flash is the third Flash release in six weeks and Google’s most capable so far. On the DeepSWE coding test it scored 73.7%, just under Claude Opus 5 and ahead of GPT-5.6 Sol, and Google reports wins over Opus 5 on finance and legal agent tests. It reads the same mix as Gemini Pro — text, images, audio, video and PDFs — in a million-token window.
Once it starts, it is fast: about 300 tokens a second in independent tests. Starting is the slow part — about 13 seconds to the first token, against a median of 3 — and it is wordy, so tasks can cost more than its rates suggest.
gemini-3.8-flashRoar AI provides access to Gemini 3.8 Flash through the Roar AI gateway, charged in Australian dollars on one bill with every other model. Requests from Australia go through our gateway in Singapore today; a gateway in Sydney is coming. Developers can use Gemini 3.8 Flash alongside other supported models without a separate integration for every provider.
Use the OpenAI SDK you already have — point it at Roar AI and name the model. Read the docs.
from openai import OpenAI
client = OpenAI(base_url="https://api.roar-ai.com/v1", api_key="roar_live_…")
reply = client.chat.completions.create(
model="gemini-3.8-flash",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Gemini 3.8 Flash is a frontier model, and requests are processed on international infrastructure, outside Australia. The model directory says where each model is processed.
Input is A$1.14 per 1M tokens; output is A$5.68 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost A$9.08. Prices are our published US dollar rates converted at A$1.47 to the dollar, our rate for October — the same rate your card is charged. The rate is published and does not change from one request to the next.
No. Google does not publish the weights, so it is only available through an API like this one.
Sign up, get a key and call it with the SDK you already use. Pay in your local currency, on one bill.