In July 2026, OpenAI announced its next-generation model, GPT-5.6.
Among them, the top-tier GPT-5.6 Sol is not just an AI that answers questions or writes text like previous versions of ChatGPT. It is a model designed to research multiple information sources, use necessary tools, make judgments, and complete deliverables such as documents, code, and spreadsheets.
Previously, using generative AI required humans to break down tasks into small steps and provide instructions for each stage. However, with GPT-5.6, by conveying the objective and conditions, the AI can organize complex work itself and proceed through long processes more consistently.
Furthermore, many practical features have been added, such as Multi-agent (running multiple agents simultaneously), Programmatic Tool Calling (processing tool results via code), persisted reasoning (maintaining context over long-term tasks), and max reasoning effort/Pro mode for deep verification of difficult problems.
So, what makes GPT-5.6 Sol different from previous models? How should you choose between Sol, Terra, and Luna? How do token counts and pricing work, and how do new features like ChatGPT Work, Sites, and Multi-agent help in actual work?
This article thoroughly explains the features, new functions, model selection, and practical usage of GPT-5.6 in terms that even first-time users can understand. In the latter half, we introduce three specific marketing use cases to help you visualize the evolution of GPT-5.6.
1. GPT-5.6 in a Nutshell
GPT-5.6 is a model that has become stronger at breaking down difficult tasks, gathering necessary information, using tools, verifying along the way, and bringing things close to a finished product.
If compared to a human, it's not just someone with knowledge. Rather, it's like:
"Someone who, when given a goal, researches, thinks, creates documents, checks for errors, has other team members work in parallel if necessary, and finally summarizes everything into a usable format."
The essence of GPT-5.6 is not just the amount of knowledge. The "ability to carry out long and complex tasks without breaking down midway" is what's important.
Therefore, when using GPT-5.6, it's helpful to think of it this way:
For short questions, a standard high-speed model is sufficient. But if you want to connect research, judgment, production, verification, documentation, and execution planning, GPT-5.6 Sol becomes valuable.
Note: Setup and advanced usage techniques are summarized in a PDF. If you want it, you can get it from here!
https://x.com/MakeAI_CEO/status/2027682940847898770?s=20
2. GPT-5.6 includes Sol, Terra, and Luna
GPT-5.6 is not just one model. It is broadly divided into three types: Sol, Terra, and Luna.
Sol is the smartest and suited for complex work: strategy, design, analysis, critical judgment, long documents, code, research, security, design, and agent tasks.
Terra has a good balance of performance and cost: daily work, high-volume tasks, standard document creation, drafting, and bulk business processing.
Luna is the fastest and best for low-cost mass processing: classification, extraction, short summaries, tagging, and primary checks.
In the standard ChatGPT interface, you don't directly select Terra or Luna; instead, GPT-5.6 Sol is used at Medium, High, and Extra High reasoning levels. Terra and Luna are positioned for use in Work, Codex, and API.
Think of these three like a company team:
- Sol is the chief of staff making final decisions.
- Terra is the staff member handling quality-controlled execution.
- Luna is the processor handling large amounts of data quickly.
Making Sol do everything is like making the CEO organize receipts. A strong workflow uses Luna for mass processing, Terra for drafting, and Sol for critical decisions.
3. How to Choose GPT-5.6 Sol in ChatGPT
In ChatGPT, you choose based on "how much you want it to think" rather than the model name itself.
Instant is for high-speed daily use (uses GPT-5.5 Instant, not GPT-5.6 Sol).
Medium is the standard reasoning for GPT-5.6 Sol. Start here for daily work.
High is a setting that makes GPT-5.6 Sol think a bit more deeply. Suited for multi-condition analysis, important writing, research, and planning.
Extra High is the highest reasoning amount for Sol. For high-stakes work, long documents, and complex judgments.
Pro is GPT-5.6 Sol Pro. Use this when quality is the top priority for difficult or long-running tasks.
According to OpenAI, Medium, High, and Extra High are GPT-5.6 Sol, while Pro is GPT-5.6 Sol Pro. (OpenAI Help Center
In short, just opening ChatGPT isn't enough to use GPT-5.6. Select Medium or higher. That's the first basic step.
4. What Changed in GPT-5.6?
The change in GPT-5.6 isn't just about slightly better writing. Here are the 10 key points:
- ChatGPT Work: A feature to gather scattered notes, files, and apps to create finished products like documents, spreadsheets, and slides. (OpenAI
- Enhanced Document Creation: Improved quality for presentations and spreadsheets. It can read design rules, margins, colors, and Slide Master rules from existing decks to create new materials. (OpenAI
- Design Judgment: It can look at screens to check and fix usability, visual hierarchy, and layout. (OpenAI
- Ultra: A setting that runs multiple sub-agents in parallel for simultaneous research and analysis. (OpenAI
- Multi-agent: An API feature (beta) where GPT-5.6 runs multiple sub-agents and integrates their results. Great for competitor research or multi-market analysis. (OpenAI Developers
- Programmatic Tool Calling: GPT-5.6 can write JavaScript to process results from multiple tools, performing deduplication, aggregation, and filtering. (OpenAI Developers
- Explicit Prompt Caching: Easier to cache fixed info like brand guides and product specs. Cache reads are discounted. (OpenAI Developers
- Persisted Reasoning: Reuses previous reasoning and judgment criteria across multiple turns, reducing the burden of re-explaining premises. (OpenAI Developers
- Max Reasoning Effort and Pro Mode: Settings for deeper exploration and verification. reasoning.mode: "pro" in the API increases reliability for critical tasks. (OpenAI Developers
- Long Context and Token Efficiency: 1,050,000 token context window with 128,000 token max output. Knowledge cutoff is February 16, 2026. (OpenAI Developers
In summary, GPT-5.6 has moved from being a "talking AI" to an "AI that carries out long tasks."
5. How to Use GPT-5.6
The most important mindset is to provide the "deliverable" rather than just asking for an "answer."
Bad request: "Analyze this document."
Good request: "Read this document and summarize it into conclusions, evidence, risks, options, recommendations, and next steps so that a decision can be made at next week's executive meeting."
GPT-5.6 understands the objective without needing every step written out. However, constraints and success criteria should still be explicit. (OpenAI Developers
6. What NOT to Do with GPT-5.6
The biggest waste is just saying "be more detailed" or "make it high quality." GPT-5.6 is already tuned for conciseness and reasoning. OpenAI found that shorter, clearer prompts actually improved scores and reduced costs. (OpenAI Developers
7. Token Counts and Pricing
GPT-5.6 Sol API costs $5 per 1M input tokens ($0.50 cached) and $30 per 1M output tokens. Long-context pricing (2x input, 1.5x output) applies to requests over 272K tokens. (OpenAI Developers
Strategy: Use Luna/Terra for preprocessing, then pass only critical parts to Sol.
8. Simplified Explanation of GPT-5.6 Features
- Medium: Standard smart work.
- High: For tasks where you don't want mistakes.
- Extra High: For heavy, complex planning.
- Pro: For high-stakes corporate decisions.
- Work: For creating finished products.
- Sites: For creating interactive dashboards.
9. Three Marketing Use Cases
- Customer Research to Campaign Materials: Connect survey analysis, ad copy, and slide generation into one flow using ChatGPT Work.
- Competitor Experience Analysis: Use Computer Use and Work to compare customer journeys across competitor sites.
- Ad Data and CRM Integration: Use Programmatic Tool Calling to aggregate data from multiple sources and identify growth opportunities.
10. 10 Essential Prompt Templates for GPT-5.6
(The article provides 10 detailed templates for basic requests, Work, High-level decisions, Slide updates, Multi-agent research, Sites, Monitoring, Data preprocessing, Image/Design review, and Final Auditing.)
11. Practical Rules for GPT-5.6
Divide roles: Humans set the objective, GPT-5.6 researches and drafts, humans approve. GPT-5.6 excels at clear deliverables, not vague desires.
12. Conclusion: What Makes GPT-5.6 Amazing?
Its true value isn't writing smart sentences; it's the ability to drive complex work toward a finished product. It changes ChatGPT from a "consultant" into an "execution engine."
