Grok 4.6

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.

For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost $13.80 — 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.

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."}],
)