GPT-6 Astra Online | OpenAI Flagship on NetRoom

GPT-6 Astra

Current version: 6.0 updated

Flagship of the GPT-6 generation. 1M token context, text, image and file input.

Category
Language
Modality
Text · Tool use
Context
1M
Released
Sep 2026
Update

What's new in GPT-6 Astra 6.0

  • 1.05M-token context, up to 128K output per reply
  • Accepts text, images and files as input
  • Adjustable reasoning effort per task complexity
  • Tool calling and schema-constrained structured output
  • The Pro tier runs the same model with pro reasoning mode
Strengths

What it's the best tool for

  • 1.05M-token context, up to 128K output per reply
  • Accepts text, images and files as input
  • Adjustable reasoning effort per task complexity
  • Tool calling and schema-constrained structured output
  • Seed parameter for reproducible answers
  • Holds context across long multi-step sessions
Limitations

When to reach for something else

  • Text output only: it reads images and files but does not generate them
  • Reasoning mode adds latency and token spend
  • Prompts longer than 272K tokens are billed at a separate rate
  • Mid-tier models are a better fit for short high-volume tasks
  • OpenAI content filters apply to sensitive topics
Sample output

How GPT-6 Astra responds

Prompt
Here is the requirements PDF and a database schema dump. Break down the requirements, find contradictions between the spec and the schema, propose table changes and lay out a step-by-step migration plan.
GPT-6 Astra
Parsed the spec into 34 requirements and checked them against the schema. Found 4 contradictions. 1) Section 2.3 requires order status history, but the schema stores status in a single field with no versions. 2) Section 5.1 promises soft deletes, yet the users table has no deleted_at. 3) Order currency is hardcoded while the spec describes multi-currency support. 4) Email uniqueness is stated but no index enforces it. Proposed changes: an order_status_history table, deleted_at with a partial index, currency and amount_minor columns, a unique index on lower(email). Migration plan: 5 steps, starting with nullable column additions, then backfill, then enabling constraints. Every step is reversible and the rollback is written out separately.
Where teams use it

Four scenarios where it pays for itself

01
Engineering and code
Refactors, migrations and multi-step repository work
02
Deep analysis
Research, data breakdowns and long documents
03
Working with files
PDFs, tables and images parsed right in the chat
04
Agentic pipelines
Tool calling and schema-constrained structured output
About model

More about GPT-6 Astra

GPT-6 Astra Online — OpenAI's Flagship for Demanding Work

GPT-6 Astra is the top model of the GPT-6 generation, available since September 2026. It brings a 1.05 million token context, up to 128K output per reply, and accepts text, images and files as input. OpenAI positions it for work you have to carry end to end: software engineering, deep analysis, scientific and research tasks, and document creation. On NetRoom Astra runs straight in the browser, with no VPN and no foreign card.

What it does

The defining trait of this generation is distance. A 1.05M-token window fits a large repository, a document set or months of correspondence, and the model keeps the thread across the whole session. Reasoning effort is adjustable: simple questions come back fast, hard ones get more thinking time. Tool calling and schema-constrained structured output are supported, so Astra slots into agentic pipelines rather than chat alone. A seed parameter is available when you need reproducible answers, along with strict response formats.

Astra and Astra Pro

There are two cards from the same family in the catalog. GPT-6 Astra is the base mode: it covers most tasks and answers faster. GPT-6 Astra Pro is the same model served with pro reasoning mode enabled, spending more time and tokens on deliberation and pulling ahead where the task is genuinely hard. The underlying weights are identical, the context window and output ceiling match, and the only difference is reasoning depth. A practical rule: start with Astra and switch to Pro when the base mode stalls.

Who it fits

Developers get refactors, unfamiliar codebases, migrations and multi-step repository work. Analysts and researchers get large bodies of text and tables, plus source consolidation. Anyone producing documents gets drafts, structure and proofreading over long material. For short high-volume calls such as classification or summarization, mid-tier models are the saner choice: quality is close enough there, while a flagship pays off on genuinely hard work.

Things to keep in mind

Astra answers in text only: it reads images and files but does not generate them. Reasoning adds latency, which is noticeable in interactive scenarios. Very long prompts are billed at a separate rate, so filling the context window just in case is not a good habit. Standard OpenAI content filters apply to sensitive topics.

How to start

Sign up on NetRoom, top up your balance, pick GPT-6 Astra in the model catalog and send your first prompt in about a minute — no VPN, no API setup.

Recent changes

What changed GPT-6 Astra

  • + Added text model GPT-6 Astra (OpenAI).
Full changelog →
Versions

Version history of GPT-6 Astra

Version Date What changed
6.0 current
  • 1.05M-token context, up to 128K output per reply
  • Accepts text, images and files as input
  • Adjustable reasoning effort per task complexity
  • Tool calling and schema-constrained structured output
  • The Pro tier runs the same model with pro reasoning mode

Use GPT-6 Astra via the API

The same engine, straight from your code: one key and one balance for text, images, video and sound. Pay only for the requests you make.

curl
curl https://netroom.ai/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "openai/gpt-6-astra", "messages": [{"role": "user", "content": "Hello"}]}'

The format is OpenAI SDK compatible — point base_url at https://netroom.ai/api/v1 and use your NetRoom key.

The model id is already in the example. The full parameter reference and prices live in GET /api/v1/models and in the docs.

API documentation Get an API key

Try GPT-6 Astra
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