GPT-6 Luna
Current version: 6.0 updated
The most cost-efficient tier of the GPT-6 generation. 1M token context, text, image and file input.
What's new in GPT-6 Luna 6.0
- 1.05M-token context, up to 128K output per reply
- Accepts text, images and files as input
- The cheapest tier of the GPT-6 generation, built for high volume
- Adjustable reasoning effort: six levels from none to max
- Tool calling and schema-constrained structured output
What it's the best tool for
- 1.05M-token context takes a long document in one request, no chunking pipeline
- Up to 128K output tokens per reply
- Accepts text, images and files as input
- The cheapest tier of the GPT-6 generation, built to absorb high request volume
- Six reasoning-effort levels, from none to max
- Tool calling and schema-constrained output that lands straight in a database
When to reach for something else
- Trails the bigger GPT-6 tiers on complex multi-step reasoning
- Reads prompts more literally than its bigger siblings: a vague brief returns a vague answer
- High reasoning effort erodes its main edge — throughput and low cost per request
- Temperature and top_p are not supported, response variety is steered by the prompt alone
- OpenAI content filters on sensitive topics
How GPT-6 Luna responds
GPT-6 Luna
Four scenarios where it pays for itself
More about GPT-6 Luna
GPT-6 Luna Online — OpenAI's Fast, Low-Cost Model on NetRoom
GPT-6 Luna is the cheapest tier of OpenAI's GPT-6 generation, released on September 22, 2026. It ships a 1.05M-token context window, up to 128K output tokens per reply, and accepts text, images and files as input. On NetRoom it runs online, straight in the browser, with simple pay-as-you-go billing and no subscription.
Where Luna sits in the GPT-6 generation
The generation has three tiers: Astra, the flagship for hard coding and agentic work; Sol, the middle ground; and Luna, the volume tier. All three share the same 1.05M context window and the same feature set: six reasoning-effort levels from none to max, tool calling, and schema-constrained structured output. What separates them is the price per token. Luna is the cheapest of the three, and that defines its role — it is built for a firehose of repetitive requests, not for one-off hard problems.
Where Luna shines
Luna is made for bulk pipelines where volume and cost per request decide the outcome: intent classification and routing, labeling and tagging, field extraction from documents, support auto-replies, and batch drafting of emails, product cards and descriptions. The million-token context removes the need for a chunking pipeline — a full report, an export log or an entire book fits into a single request. Image and file input covers scans, tables and PDFs without a separate recognition step, and schema-constrained output lets you write results straight into a database instead of parsing them with regexes.
Where it falls short
Complex multi-step reasoning, non-trivial code and nuanced analysis stay with the bigger tiers. If a task keeps demanding high reasoning effort, that is a signal to move up to Sol or GPT-6 Astra. Luna reads prompts more literally than its bigger siblings: a vague brief returns a vague answer, while a precise instruction is handled predictably. The reverse is also true — running a flagship over a stream of simple requests is wasted budget, and Luna covers those scenarios for noticeably less.
How to start
Sign up on NetRoom, top up your balance and pick GPT-6 Luna from the catalog. You pay per token as you go, with no subscription. GPT-6 Astra and other models sit next to it in the catalog, and you can switch between them in one click inside the chat to compare answers on your own task.
Version history of GPT-6 Luna
| Version | Date | What changed |
|---|---|---|
| 6.0 current |
|
Use GPT-6 Luna 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-luna", "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 Luna
right now
Free access to basic models. No card, no obligations.