OpenAI: GPT-6 AstraNEW

Name: GPT-6 Astra
Brand: OpenAI
Price: 1073.3 RUB
Availability: InStock

openai/gpt-6-astra

textVisionFilesReasoning

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.

Price in / out

Cache, read / write

Context / Max output

1.05M / 128K

Released

Sep 4, 2026

Additional rates

Flex, in / out

Web search

Above 272K prompt tokens the upstream charges more: 2× input, 1.5× output. Per-route rates are in the table below.

Parameters

messagesrequired

reasoning_effortlow · medium · high · xhigh · max

max_tokensoptional · alias max_completion_tokens

streamtrue · false

toolsfunction calling (OpenAI format)

tool_choiceauto · none · required

response_formatjson_object · json_schema

web_search · · ·

providerrouting: order · only · ignore · sort

service_tierflex

stream_options{"include_usage": true}

image_urlimage (data: URL)

filePDF · DOCX · TXT · CSV · XLSX · PPTX (data: URL)

Fine-tuning · 1

seedoptional

How to use via API

from openai import OpenAI

client = OpenAI(base_url="https://api.mixen.ai/v1", api_key="mxn-...")
resp = client.chat.completions.create(
    model="openai/gpt-6-astra",
    messages=[{"role": "user", "content": "Привет"}],
    reasoning_effort="low",  # low · medium · high · xhigh · max
    max_tokens=1024,
    stream=False,
)
print(resp.choices[0].message.content)

# Стриминг: stream=True — ответ приходит чанками
for chunk in client.chat.completions.create(
    model="openai/gpt-6-astra",
    messages=[{"role": "user", "content": "Привет"}],
    stream=True,
):
    print(chunk.choices[0].delta.content or "", end="", flush=True)

# эконом-тир: тот же ответ вдвое дешевле, но ниже приоритет в очереди
cheap = client.chat.completions.create(
    model="openai/gpt-6-astra",
    messages=[{"role": "user", "content": "Привет"}],
    extra_body={"service_tier": "flex"},
)

# с файлом (PDF · DOCX · TXT · CSV · XLSX · PPTX)
doc = client.chat.completions.create(
    model="openai/gpt-6-astra",
    messages=[{"role": "user", "content": [
        {"type": "text", "text": "Кратко перескажи документ"},
        {"type": "file", "file": {
            "filename": "doc.pdf",
            "file_data": "data:application/pdf;base64,JVBERi0...",
        }},
    ]}],
)

API docsTry in the bot

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