GPT-6 Sol
Current version: 6.0 updated
High-end GPT-6 model below Astra. 1M context, text, image and file input.
What's new in GPT-6 Sol 6.0
- High-end GPT-6 model between the Astra flagship and the fast Luna tier
- 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
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 and strict response formats for reproducible results
- High-end GPT-6 tier tuned for the quality-to-cost balance
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, higher rate
- The prompt is capped at 922K tokens, the rest of the window is reserved for the answer
- OpenAI content filters apply to sensitive topics
How GPT-6 Sol responds
GPT-6 Sol
Four scenarios where it pays for itself
More about GPT-6 Sol
GPT-6 Sol Online — OpenAI's High-End Model for Serious Work
GPT-6 Sol is the upper-tier model of the GPT-6 series, available since September 22, 2026. It sits between the GPT-6 Astra flagship and the fast GPT-6 Luna tier: OpenAI positions it as the cost-efficient high-end option for demanding professional work. It brings a 1.05 million token context, up to 128K output per reply, and accepts text, images and files as input. On NetRoom it runs straight in the browser, with no VPN and no foreign card.
What it does
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. A single request takes up to 922K prompt tokens, leaving the rest of the window for the answer. Reasoning effort is adjustable: simple questions come back fast, hard ones get more thinking time. Tool calling, strict response formats and schema-constrained structured output are supported, so Sol slots into agentic pipelines rather than chat alone. A seed parameter is available when an answer has to be reproducible.
Sol, Astra and Luna
The GPT-6 generation ships in three tiers. Luna is the fast tier for everyday and high-volume work. Sol is the high-end tier tuned for the quality-to-cost balance: complex code, analysis, long documents. Astra is the flagship, and it pays off where the task is genuinely hard and mistakes are expensive. Sol and Astra share the same context window and output ceiling; the difference is model class. A practical rule: start with Sol and move to Astra when Sol stalls.
Who it fits
Developers get refactors, unfamiliar codebases, migrations and multi-step repository work. Analysts 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 labelling, the lower tiers are the saner choice: quality is close enough there, while the high-end tier pays off on genuinely hard work.
Things to keep in mind
Sol answers in text only: it reads images and files but does not generate them. Reasoning adds latency and token spend, which is noticeable in interactive scenarios. Prompts longer than 272K tokens are billed at a separate, higher 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 Sol in the model catalog and send your first prompt in about a minute — no VPN, no API setup.
Version history of GPT-6 Sol
| Version | Date | What changed |
|---|---|---|
| 6.0 current |
|
Use GPT-6 Sol 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-sol", "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 Sol
right now
Free access to basic models. No card, no obligations.