MiniMax-M3 API in Australia
MiniMax’s open flagship: strong coding, a million-token context and image and video input in one model. Priced in Australian dollars for teams in Australia, on the same key as every other model.
MiniMax-M3 API pricing in Australia
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$4.01 — 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 MiniMax-M3
MiniMax-M3 was pitched as the first open model to combine frontier-level coding, a million-token context and native image and video input. MiniMax reports 59.0% on SWE-bench Pro and 80.5% on SWE-bench Verified, and says its new attention design makes it many times faster than M2 at full context length.
You can leave thinking on, switch it off, or let the model decide per request — the adaptive setting is the default. That makes it flexible for agents that mix quick calls with hard ones, such as a coding agent reading screenshots.
What is MiniMax-M3 good for?
- Coding agents that read screenshots or screen recordings.
- Long documents mixed with images and video.
- Calls where latency matters, with thinking switched off.
Where to be careful
- MiniMax’s licence restricts some commercial uses.
- Its scores are MiniMax’s own.
Specs
minimax-m3Using MiniMax-M3 from Australia
Roar AI provides access to MiniMax-M3 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 MiniMax-M3 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="minimax-m3",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Where is MiniMax-M3 processed?
Requests to MiniMax-M3 are processed on international infrastructure, outside Australia. The model directory says where each model is processed.
Questions
How much does MiniMax-M3 cost in Australia?
Input is A$0.5733 per 1M tokens; output is A$2.29 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost A$4.01. 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 MiniMax-M3 open source?
Its weights are open under the MiniMax community licence licence, so you could run it yourself. Through Roar AI you call it like any other model, with no servers to manage.
Try MiniMax-M3
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.