xAI’s flagship from August 2026, strongest at graduate-level science questions. Priced in Indian rupees for teams in India, on the same key as every other model.
In Indian rupees, 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 ₹2,422.56 — 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 ₹98.00 to the dollar, our rate for October — the same rate your card is charged.
Grok 4.6 is xAI’s flagship for code and general work. Its standout number is 94.9% on GPQA Diamond, a test of graduate-level science questions, which independent rankings put first of hundreds of models. It also made a big jump over Grok 4.5 on agent-style office work, and xAI highlights turning a rough description into a working software prototype.
On an independent test of made-up answers, its rate fell from 54% to 34% — better, but still about one wrong answer in three on that test, so keep a check on anything a customer sees. Its context window is 500K tokens, half that of the million-token models.
grok-4.6Roar AI provides access to Grok 4.6 through the Roar AI gateway, charged in Indian rupees on one bill with every other model. Requests from India go through our gateway in Bangalore. Developers can use Grok 4.6 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="grok-4.6",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Grok 4.6 is a frontier model, and requests are processed on international infrastructure, outside India. The model directory says where each model is processed.
Input is ₹403.76 per 1M tokens; output is ₹1,211.28 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost ₹2,422.56. Prices are our published US dollar rates converted at ₹98.00 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. xAI 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.