GPT-5.6 Sol vs Luna - Which OpenAI Model Should You Use?

The current OpenAI choice on magicdoor.ai is straightforward: use GPT-5.6 Luna for efficient everyday work, and use GPT-5.6 Sol when the task justifies OpenAI's frontier flagship.

Both models support vision, PDFs, reasoning, Canvas, and code interpreter on magicdoor.ai. The practical difference is price and how much model you want to spend on each turn.

Quick Answer

	GPT-5.6 Luna	GPT-5.6 Sol
Current role	Efficient OpenAI model	OpenAI frontier flagship
Standard input price	$1 per 1M tokens	$5 per 1M tokens
Standard output price	$6 per 1M tokens	$30 per 1M tokens
Good starting point for	Drafts, summaries, routine coding help, PDFs, and data work	Complex reasoning, harder coding, and demanding analysis
Vision / PDFs / reasoning / Canvas	Yes	Yes
Code interpreter	Yes	Yes

For the full lineup, see the model cost guide.

Start with GPT-5.6 Luna

Luna is the sensible default when you do not yet know whether a task needs the flagship. It costs one-fifth as much as Sol on both standard input and output token rates.

Start with Luna for:

email and document drafts
summaries and extraction
routine coding questions
spreadsheet, CSV, and file work with code interpreter
PDF or image analysis
an inexpensive first pass before deeper review

Price alone does not tell you which answer will be better for your exact prompt. Run the real task, inspect the result, and only switch up when Luna misses something important.

Switch to GPT-5.6 Sol

Sol is the current OpenAI flagship on magicdoor.ai. Use it when the cost of a weak first answer is higher than the extra token spend.

Good reasons to switch include:

a multi-step problem remains unresolved
a code review needs more careful reasoning
the first analysis missed constraints or edge cases
you want a second pass on an important decision
the output will be used in higher-stakes work

Do not use Sol automatically for every message. A long conversation can mix Luna for routine turns with Sol for the few turns that need it.

A Practical Two-Model Workflow

Start on Luna. Give it the complete goal, relevant files or data, and your output format.
Check the answer against a clear standard. Look for missing constraints, unsupported assumptions, and incomplete calculations.
Stay on Luna if the result works. There is no benefit in paying more just because a flagship exists.
Switch to Sol for the difficult turn. Ask it to inspect the previous work, identify gaps, and produce a corrected final answer.
Switch back when the hard part is done. Continue routine edits or formatting on Luna.

magicdoor.ai supports switching models mid-conversation, with no platform rate limits or cooldowns. Live cost monitoring helps you see the effect of each choice.

When Current Information Matters

Neither model choice removes the need for current sources. magicdoor.ai can automatically search when a chat needs live information. For research-heavy work, you can also start directly with Perplexity Reasoning, then switch to Luna or Sol for analysis and writing.

What It Costs to Use OpenAI Models Here

magicdoor.ai has a $6/month base subscription, including $1 in credits, with pay-as-you-go usage on top. Most users typically spend $8-10/month total. Top-up balances do not expire.

That structure rewards using the least expensive model that completes the task. Read the usage-based pricing guide for the broader cost model and the token guide if you want to understand how input and output affect a chat's price.

Bottom Line

Use GPT-5.6 Luna as your OpenAI default. Move to GPT-5.6 Sol for the parts of a task where flagship capability is worth five times the standard token price. Because you can switch inside the same conversation, the most useful answer is often not one model or the other—it is Luna first, Sol only when needed.

FAQ

Which OpenAI models are currently available on magicdoor.ai?

GPT-5.6 Sol and GPT-5.6 Luna are the two current OpenAI chat models on magicdoor.ai. Sol is the frontier flagship; Luna is the efficient option for everyday work.

How much do GPT-5.6 Sol and GPT-5.6 Luna cost?

At standard rates, GPT-5.6 Sol costs $5 input / $30 output and GPT-5.6 Luna costs $1 input / $6 output per 1M tokens.

Should I start with GPT-5.6 Sol or GPT-5.6 Luna?

Start with GPT-5.6 Luna for routine drafts, summaries, coding help, and file work. Switch to GPT-5.6 Sol when the task needs a stronger flagship model.

Can I switch between GPT-5.6 Luna and Sol in one conversation?

Yes. magicdoor.ai lets you switch models mid-conversation, so you can begin with Luna and move to Sol without rebuilding the chat context.