GPT-6 Astra per token, in reais

Frontier The newest generation of the GPT line in our catalogue — for general text and reasoning tasks.

Where it does well

General use: chat, code, summarisation and extraction, with good instruction following. Context window of 128,000 tokens.

Where it is not the best choice

High volume of simple work. For classification, extraction and short summaries, the lighter models in the same line do the job at a fraction of the price per token.

What changes when you pay in reais

Buying direct from the maker means paying in dollars plus two things that are not on their price list: Brazil's 3.5% IOF tax and your card issuer's FX spread, usually another 2% to 4% and never itemised. Here you are billed in reais, with neither.

The price in reais is also fixed: when the dollar rises, the maker price rises on your statement and this one does not.

How to use it on GPUBrasil

The API speaks the OpenAI format. Swap the base_url, use a gpub_live_ key and pass gpt-6-astra as the model.

from openai import OpenAI

client = OpenAI(
    base_url="https://gpubrazil.com/v1",
    api_key="gpub_live_...",
)

r = client.chat.completions.create(
    model="gpt-6-astra",
    messages=[{"role": "user", "content": "Explain what a token is."}],
)
print(r.choices[0].message.content)

The same endpoint works in Cursor, Cline, Continue, Zed, Aider, Open WebUI and LibreChat — they all accept an OpenAI-compatible endpoint.

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FAQ

How much does GPT-6 Astra cost on GPUBrasil?

R$ 121.95 per 1 million input tokens and R$ 608.90 per 1 million output tokens, billed in Brazilian reais. No subscription and no minimum purchase — you pay only for the tokens you use.

How do I call GPT-6 Astra?

The API is OpenAI-compatible. Point base_url at https://gpubrazil.com/v1, use a gpub_live_ key and pass gpt-6-astra as the model. It works with the OpenAI SDK and with tools like Cursor, Cline, Continue, Zed and Open WebUI with no adaptation.

What is the context window of GPT-6 Astra?

128,000 tokens, counting what you send plus what the model answers in the same call.

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