Google’s Pro model: reads video, audio, images and PDFs in one million-token window. Priced in Singapore dollars for teams in Singapore, on the same key as every other model.
In Singapore 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 S$24.10 — 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 S$1.30 to the dollar, our rate for October — the same rate your card is charged.
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.
gemini-3.1-proRoar AI provides access to Gemini 3.1 Pro through the Roar AI gateway, charged in Singapore dollars on one bill with every other model. Requests from Singapore go through our gateway in Singapore. 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."}],
)Gemini 3.1 Pro is a frontier model, and requests are processed on international infrastructure, outside Singapore. The model directory says where each model is processed.
Input is S$2.68 per 1M tokens; output is S$16.07 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost S$24.10. Prices are our published US dollar rates converted at S$1.30 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.