GPT-6.1 Sol Guide - Complex Work on magicdoor.ai

GPT-6.1 Sol is the balanced OpenAI model for complex work on magicdoor.ai. Use it for the turns where difficult reasoning, coding, or analysis is worth a premium model—not automatically for every message. If you arrived through an older OpenAI model-guide URL, this is the current Sol option.

What GPT-6.1 Sol Supports

On magicdoor.ai, Sol supports:

• vision for images and screenshots
• PDF input
• reasoning mode
• Canvas
• code interpreter
• automatic web search when current information is needed, with Perplexity available as a research option

The model accepts text and image input and produces text. Magicdoor handles PDF and data-file workflows through its file and code tools; direct audio and video input is not supported by this model.

This combination is especially practical when a task moves between analysis and execution. You can inspect a file, run calculations with code interpreter, and turn the result into a written conclusion without changing products.

What Changed from GPT-6 Sol?

OpenAI positions GPT-6.1 Sol closer to Astra for complex coding, computer use, and professional work. That is a qualitative capability update, not a published head-to-head Magicdoor benchmark, so compare the two on your own representative tasks before assuming every answer will improve. The published knowledge cutoff moves from April 20 to April 30, 2026.

Standard input and output rates remain $2 and $10 per million tokens, while cached input falls from $0.20 to $0.10. The 1.05M-token context window, 922K maximum input, and 128K maximum output are unchanged. Both versions accept text and images and return text; neither takes direct audio or video input. GPT-6.1 Sol supports low, medium, high, xhigh, and max reasoning effort, but not the old none setting. Magicdoor offers the compatible low, medium, and high choices.

When Sol Is Worth Using

Sol is a good fit when:

• a problem has several interacting constraints
• a hard debugging or architecture task needs another pass
• the input includes documents, images, or data that must be analyzed together
• you need code interpreter as part of a demanding workflow
• a lower-cost model produced an incomplete result
• the output will be used for an important decision

For high-stakes work, keep human review and source verification in the loop. Even a strong model can make mistakes.

When to Use GPT-6 Luna Instead

GPT-6 Luna supports the same major magicdoor.ai tools at one-twentieth of Sol's standard input and output token rates.

Choose Luna first for:

• routine drafting and rewriting
• summaries and extraction
• straightforward coding help
• repeated revisions
• ordinary PDF, image, spreadsheet, or CSV work

If Luna completes the task, stay there. If it misses constraints or cannot resolve the difficult part, switch to Sol inside the same conversation. The GPT-6.1 Sol vs Luna guide gives a fuller comparison.

A Better Sol Workflow

1. Define success before prompting. List the required output, constraints, and any facts that must be checked.
2. Include the evidence. Attach the relevant file, PDF, image, or data instead of asking Sol to infer missing context.
3. Ask for uncertainty. Tell the model to separate verified observations from assumptions.
4. Use code interpreter when execution matters. Ask it to run the calculation or inspect the file, then explain the result.
5. Review the answer. Check citations, calculations, and high-impact claims yourself.
6. Switch down for routine edits. Continue formatting or rewriting on Luna once the difficult work is complete.

For current web research, use a currently supported search-enabled chat model and verify original sources, then use Sol to synthesize the findings.

Pricing and Platform Access

GPT-6.1 Sol usage is charged at:

• Input: $2 per 1M tokens
• Cached input: $0.10 per 1M tokens
• Cache write: $2.50 per 1M tokens
• Output: $10 per 1M tokens

Requests above 272K input tokens apply the long-context rates to the whole request: 2x input, cached-input, and cache-write pricing, and 1.5x output pricing.

magicdoor.ai costs $6/month, including $1 in credits, with pay-as-you-go usage on top. Most users typically spend $8-10/month total. The platform has no separate per-model cooldowns, and its live cost monitor helps you decide whether a premium turn is earning its keep.

Read the model cost guide for a lineup-wide comparison and usage-based pricing for the subscription and top-up model.

Bottom Line

GPT-6.1 Sol is the OpenAI model to use when the difficult part of a task deserves a stronger model. Start with a clear acceptance standard, provide the source material, and switch back to Luna after the premium work is done.

FAQ

Which OpenAI model balances capability and cost on magicdoor.ai?

GPT-6.1 Sol is the balanced OpenAI option for complex work; GPT-6 Astra is the highest-capability option.

How much does GPT-6.1 Sol cost?

GPT-6.1 Sol costs $2 per 1M input tokens and $10 per 1M output tokens at standard rates.

What tools does GPT-6.1 Sol support on magicdoor.ai?

GPT-6.1 Sol supports vision, PDFs, reasoning, Canvas, and code interpreter. magicdoor.ai can also search automatically when current information is needed.

Is GPT-6.1 Sol always better than GPT-6 Luna?

No. Luna is the more economical choice for routine work. Use Sol when a complex task benefits from a stronger pass, and compare both on representative prompts.