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Google · Chat

Gemini 3.1 Pro API in Australia

Google’s Pro model: reads video, audio, images and PDFs in one million-token window. Priced in Australian dollars for teams in Australia, on the same key as every other model.

InputA$3.03per 1M tokens
OutputA$18.17per 1M tokens
BillingOne bill, in AUDwith every other model

Gemini 3.1 Pro API pricing in Australia

InputA$3.03 per 1M tokens · $2.06
OutputA$18.17 per 1M tokens · $12.36
Cached inputA$0.3028 per 1M tokens · $0.206
Batch inputA$1.51 per 1M tokens · $1.03
Batch outputA$9.08 per 1M tokens · $6.18

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$27.25 — 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 3.1 Pro

Gemini 3.1 Pro takes more kinds of input than any other model here: text, images, audio, video and PDFs, in a context of about a million tokens. Hand it an hour of meeting recording or a long scanned report and ask questions across all of it. It is a strong reasoner too — 77.1% on ARC-AGI-2 at launch, more than double Gemini 3 Pro — and scored 80.6% on SWE-Bench Verified.

Google still labels it a preview, eight months on, which means it can change under you. Its knowledge stops in January 2025, the oldest of the frontier models here, and the newer Gemini Flash releases now beat it on some agent tests.

What is Gemini 3.1 Pro good for?

  • Questions across video, audio and long PDFs at once.
  • Abstract reasoning and science problems.
  • Understanding a large codebase in one pass.

Where to be careful

  • Still a preview model, and Google warns it may change.
  • Its knowledge stops at January 2025.
  • Answers are capped at about 65K tokens, half what Claude and GPT-6 can write.

Specs

Made byGoogle
ReleasedFebruary 2026
TypeChat
Context window1.05M tokens
Longest answer66K tokens
ReadsText, Images, Audio, Video, PDFs
Thinks before answeringAlways on
WeightsClosed
Processed inGlobal
Model idgemini-3.1-pro

Using Gemini 3.1 Pro from Australia

Roar AI provides access to Gemini 3.1 Pro 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 3.1 Pro 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-3.1-pro",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

Where is Gemini 3.1 Pro processed?

Gemini 3.1 Pro 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 3.1 Pro cost in Australia?

Input is A$3.03 per 1M tokens; output is A$18.17 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost A$27.25. 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 3.1 Pro open source?

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

Try Gemini 3.1 Pro
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.