GPT-6 Astra Pro
Current version: 6.0 updated
Same GPT-6 Astra weights served with pro reasoning. 1M token context.
What's new in GPT-6 Astra Pro 6.0
- 1.05M token context, output up to 128K
- Same weights as GPT-6 Astra, served with reasoning.mode = pro
- More internal reasoning per step for higher quality on hard tasks
- Text, image and file input, text output
- Structured outputs, tool calling and seed for reproducibility
What it's the best tool for
- Same weights as GPT-6 Astra, served with reasoning.mode = pro
- 1.05M token context, up to 128K tokens in a single reply
- Text, images and files in one request
- Tool calling in three modes: auto, required and a named function
- Structured outputs against a JSON schema, plus seed and reasoning_effort
When to reach for something else
- Slower than base Astra: pro mode thinks longer at every step
- Burns noticeably more reasoning tokens, so the same task costs more
- On short, unambiguous prompts it gains little over base Astra
- Text output only: the model does not generate images or video
- No built-in web search in chat, fresh data has to come in the prompt
How GPT-6 Astra Pro responds
Four scenarios where it pays for itself
More about GPT-6 Astra Pro
GPT-6 Astra Pro Online — the Deeper Reasoning Mode of GPT-6 Astra
GPT-6 Astra Pro is the same OpenAI model as GPT-6 Astra, served with reasoning.mode = pro. There are no separate Pro weights: the whole difference is how long the model thinks before it answers. On NetRoom both versions live in the same chat, with no VPN and no foreign card required.
What pro mode buys you
Pro spends more internal reasoning on every step. On tasks where the answer depends on a dozen linked conditions — reading unfamiliar code, long calculation chains, auditing a document for contradictions — you see it in the number of details it does not drop. On short, unambiguous prompts the difference is marginal: base Astra returns the same answer sooner.
Specifications
- 1.05M token context, up to 128,000 tokens in a single reply
- Input: text, images and files. Output is text only
- Tool calling: auto, required, and calling a named function
- Structured outputs against a JSON schema plus response_format
- seed and reasoning_effort parameters for reproducibility and depth control
When Pro is worth it and when base Astra is enough
Pro pays off when a mistake costs more than the wait: refactoring a large module, reconstructing an incident from logs, checking a contract against its annexes, running a multi-step agent that cannot go wrong halfway. For chat, drafts, summaries, simple scripts and routine support replies, take base Astra — it replies faster and burns fewer reasoning tokens. Pro does not add a surcharge for the mode itself: the bill grows because the model thinks longer and writes more.
Getting started
Pick GPT-6 Astra Pro from the model list on NetRoom and type your prompt. Attach files and images directly in the dialog; long documents fit into the context in one piece. Billing is in rubles, sign-up is by email, and no separate OpenAI account is needed. If the task turns out simpler than expected, switch to base Astra in the same chat and keep the conversation history.
What changed GPT-6 Astra Pro
- + Added text model GPT-6 Astra Pro (OpenAI).
Version history of GPT-6 Astra Pro
| Version | Date | What changed |
|---|---|---|
| 6.0 current |
|
Use GPT-6 Astra Pro 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 https://netroom.ai/api/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "openai/gpt-6-astra-pro", "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.
Try GPT-6 Astra Pro
right now
Free access to basic models. No card, no obligations.