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Google · Chat

Gemini 3.8 Flash API in Australia

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.

InputA$1.14per 1M tokens
OutputA$5.68per 1M tokens
BillingOne bill, in AUDwith every other model

Gemini 3.8 Flash API pricing in Australia

InputA$1.14 per 1M tokens · $0.7725
OutputA$5.68 per 1M tokens · $3.8625
Cached inputA$0.1136 per 1M tokens · $0.0772
Batch inputA$0.5678 per 1M tokens · $0.3862
Batch outputA$2.84 per 1M tokens · $1.9312

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.

About Gemini 3.8 Flash

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.

What is Gemini 3.8 Flash good for?

  • Coding agents at a mid-range price.
  • Working through large volumes of video, audio and PDFs.
  • Finance and legal analysis agents.
  • Batch jobs where total throughput matters more than the first word.

Where to be careful

  • Slow to begin answering, which makes it a poor fit for live chat.
  • Verbose: one review measured tasks costing about 40% more than on Gemini 3.7 Flash at the same rates.
  • Google’s model card notes its safety behaviour in languages other than English slipped compared with 3.7 Flash.

Specs

Made byGoogle
ReleasedSeptember 2026
TypeChat
Context window1.05M tokens
Longest answer66K tokens
ReadsText, Images, Audio, Video, PDFs
Thinks before answeringAlways on
WeightsClosed
Processed inGlobal
Model idgemini-3.8-flash

Using Gemini 3.8 Flash from Australia

Roar 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."}],
)

Where is Gemini 3.8 Flash processed?

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.

Questions

How much does Gemini 3.8 Flash cost in Australia?

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.

Is Gemini 3.8 Flash open source?

No. Google does not publish the weights, so it is only available through an API like this one.

Try Gemini 3.8 Flash
on one key

Sign up, get a key and call it with the SDK you already use. Pay in your local currency, on one bill.