GPT-6 Astra

GPT-6 Astra is worth its rate when one good answer replaces hours of someone's time. It opened the GPT-6 generation as its flagship and has been on Kadraris since September 2026. OpenAI ranks it first among its models on every front, naming code, operating a computer, web browsing, security, science and office work as strong suits.

For long jobs in Codex, OpenAI says Astra writes notes it carries from one context window to the next, rather than squeezing the whole history into one summary.

What you can use it for

• Research reports that pull many sources into one argument
• Software projects handled from first plan to final commit
• Technical and scientific analysis where an error is expensive
• Clean documents built from large, untidy inputs
• A final review pass over drafts written by cheaper models

Settings and limits

• Context window: 1,050,000 tokens; output up to 128K tokens.
• With a window this big you can paste far too much by accident. You pay for each token in, so trim first.
• Create a separate key for Astra and give it a monthly spending limit in the dashboard.
• Same code path as GPT-6 Sol: only the model field changes.

Example request

from openai import OpenAI

client = OpenAI(
    base_url="https://kadraris.com/v1",
    api_key="sk-kd-...",
)
resp = client.chat.completions.create(
    model="gpt-6-astra",
    messages=[{"role": "user",
               "content": "Summarize what these five studies "
                          "agree and disagree on."}],
)
print(resp.choices[0].message.content)

Paste the sources below the request and ask for citations to each one.

Questions

What does GPT-6 Astra cost?

$10.80 / $54.00 per 1M tokens, the highest rate among the OpenAI models on Kadraris. A failed request costs $0.

When should Astra take over from Sol?

Only for the cases Sol gets wrong. A practical split: Sol answers by default, and your code escalates the tough ones to Astra on the same key and balance. The GPT-6 Sol vs GPT-6 Astra page compares them.

How does it compare with Claude Opus 5.5?

See Claude Opus 5.5 vs GPT-6 Astra, then run the same task on both.

GPT-6 Astra in your code

from openai import OpenAI

client = OpenAI(base_url="https://kadraris.com/v1", api_key="sk-kd-...")
resp = client.chat.completions.create(
    model="gpt-6-astra",
    messages=[{"role": "user", "content": "Suggest three opening shots for a short film about a cafe."}],
)
print(resp.choices[0].message.content)

curl https://kadraris.com/v1/chat/completions \
  -H "Authorization: Bearer $KADRARIS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-6-astra", "messages": [{"role": "user", "content": "Suggest three opening shots for a short film about a cafe."}]}'

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://kadraris.com/v1", apiKey: process.env.KADRARIS_API_KEY });
const resp = await client.chat.completions.create({
  model: "gpt-6-astra",
  messages: [{ role: "user", content: "Suggest three opening shots for a short film about a cafe." }],
});
console.log(resp.choices[0].message.content);