GPT-6 Luna Guide - Efficient OpenAI Work on magicdoor.ai
GPT-6 Luna is the current lower-cost OpenAI chat model on magicdoor.ai. It is the practical starting point for everyday prompts, coding help, PDFs, image analysis, and code-interpreter work. If you arrived at this guide looking for a smaller or more affordable GPT model, Luna is the current answer.
What GPT-6 Luna Supports
On magicdoor.ai, Luna supports:
- vision for image and screenshot analysis
- PDF input
- reasoning mode
- Canvas
- code interpreter
- automatic web search when current information is needed, with Perplexity available as a research option
Those tools make Luna more useful than a text-only budget model. For example, you can upload a CSV, ask code interpreter to inspect it, and keep the explanation in the same conversation.
Best Uses for Luna
Drafting and Summarizing
Use Luna for emails, outlines, meeting-note cleanup, document summaries, and first drafts. State the audience, desired length, and output format so the first response is easy to use.
Coding and File Work
Luna is a cost-conscious OpenAI choice for:
- explaining or refactoring a code snippet
- checking a small function for edge cases
- cleaning CSV or JSON data
- running calculations with code interpreter
- turning structured data into a readable summary
For a step-by-step file workflow, read how to use code interpreter.
PDFs and Images
Upload the source and ask for a specific deliverable rather than a generic summary. Useful requests include:
- extract the decisions and owners from this PDF
- compare this screenshot with the written requirements
- list claims in this document that need verification
- turn this table into a concise executive summary
Pricing in Context
Luna's standard token rates are:
- Input: $0.10 per 1M tokens
- Cached input: $0.01 per 1M tokens
- Cache write: $0.125 per 1M tokens
- Output: $0.50 per 1M tokens
GPT-6.1 Sol costs $2 / $10 per 1M input/output tokens, so Luna is one-twentieth of Sol's standard token price. Both models apply 2x input, cached-input, and cache-write pricing plus 1.5x output pricing to the whole request above 272K input tokens. That makes Luna the better default for repeated iterations, long drafting sessions, and exploratory work.
The platform itself costs $6/month, including $1 in credits, with pay-as-you-go usage after that. Most users typically spend $8-10/month total, and top-up balances do not expire. See usage-based pricing for details.
When Luna Is Not Enough
Switch to GPT-6.1 Sol when:
- Luna keeps missing a hard constraint
- a complex debugging task remains unresolved
- the analysis needs a more careful second pass
- the result will inform a high-stakes decision
- you have tested the same prompt and Sol materially improves the answer
The last point matters: model labels are not a substitute for evaluating your real work. Run a representative prompt on both models before making an expensive model your default.
A Cost-Conscious Workflow
- Start the conversation with Luna.
- Include the source material, constraints, and desired output.
- Ask Luna to identify uncertainty instead of guessing.
- Check the response against your acceptance criteria.
- Switch to Sol only for the unresolved step.
- Return to Luna for routine revisions.
You can switch models mid-conversation on magicdoor.ai, and there are no platform rate limits or cooldowns. For a wider decision framework, read which AI model should I use?.
Bottom Line
GPT-6 Luna is the OpenAI model to try first when cost matters and the task still benefits from vision, PDFs, reasoning, Canvas, or code interpreter. Keep Luna for the routine turns and use GPT-6.1 Sol selectively for the hard ones.
FAQ
What is GPT-6 Luna best for?
GPT-6 Luna is the efficient OpenAI option for routine drafts, summaries, coding help, PDF and image analysis, and file workflows that use code interpreter.
How much does GPT-6 Luna cost on magicdoor.ai?
GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens at standard rates.
Does GPT-6 Luna support code interpreter?
Yes. GPT-6 Luna supports code interpreter on magicdoor.ai, along with vision, PDFs, reasoning, and Canvas.
When should I switch from GPT-6 Luna to GPT-6.1 Sol?
Switch to GPT-6.1 Sol when Luna misses important constraints, a hard coding or reasoning task remains unresolved, or the output deserves a flagship second pass.
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