Tencent’s open flagship, switching between quick answers and deep reasoning. 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$1.43 — 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.
Hy3 is the model behind Tencent’s own products — its coding assistant, the Yuanbao chatbot and features inside WeChat. It is a mixture-of-experts model with 295 billion parameters, 21 billion active per token, and Tencent says it reasons as well as flagships two to five times its size. Its model card reports 90.4% on GPQA Diamond and 78% on SWE-bench Verified.
It has two speeds: a no-think mode for direct answers and a high-effort mode for hard problems. Tencent says it cut its rate of made-up answers to 5.4%. The weights are open under Apache 2.0.
hy3Roar AI provides access to Hunyuan Hy3 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 Hunyuan Hy3 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="hy3",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Requests to Hunyuan Hy3 are processed on international infrastructure, outside Australia. The model directory says where each model is processed.
Input is A$0.2007 per 1M tokens; output is A$0.8313 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost A$1.43. 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.
Its weights are open under the Apache 2.0 licence, so you could run it yourself. Through Roar AI you call it like any other model, with no servers to manage.
Sign up, get a key and call it with the SDK you already use. Pay in your local currency, on one bill.