AI model by OpenAI
GPT-6 Sol for business
The middle model of the GPT-6 family, positioned for complex coding and agentic workflows at a mid price level.
- Reviewed on September 24, 2026
- OpenAI
Capability tiersRelative, not benchmarks
Key facts about GPT-6 Sol
- Model ID at review
- gpt-6-sol
- Provider
- OpenAI
- Main category
- General purpose
- Open weights
- No, available as a hosted service
- Last reviewed
- September 24, 2026
Fit
Where it fits and where it does not
Good at
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Agent workflows that call several tools in sequence.
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Coding and code review.
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Structured outputs for integrations.
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Reading images and documents with text.
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Long inputs, with a context window of about one million tokens.
Not the right choice for
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Very high volumes of simple tasks, where Luna is cheaper.
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The hardest research tasks, where Astra may do better.
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Audio or video input.
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Self-hosting.
Use cases
Business use cases we would use it for
Business agents
Document workflows
Developer tools
Our notes
When we would choose it
GPT-6 Sol was announced on September 22, 2026, alongside GPT-6 Luna. OpenAI positions it for complex coding and agentic workflows. For most business systems built on OpenAI, it is the natural default for steps that need real judgment: agents, extraction from messy documents and assistants that call tools.
OpenAI has folded its separate reasoning models into the main family. Reasoning is now a setting on each request rather than a different model, and the older o-series models are being shut down. In practice that means one model can handle both quick and careful work, and you tune effort to balance speed and cost.
If you are on GPT-5 today, note that the original GPT-5 snapshots retire on December 11, 2026. We would run your real test set on your current model, on GPT-6 Sol and on one model from another provider, such as Claude Sonnet or Gemini Flash, then choose on results.
Keeping the model choice in configuration, behind a thin integration layer, makes each future upgrade a test and a setting change rather than a rewrite. See LLM integration.
Before you commit
Things to check before you commit
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Cost at volume
Mid-priced. Estimate cost from real prompt sizes before launch.
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Migration from GPT-5
OpenAI maps retiring GPT-5 snapshots to GPT-5.6 models. GPT-6 is a separate, newer family. Test before switching.
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Data terms
Confirm retention settings and region for your organization.
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Reasoning effort
Reasoning is set per request in current OpenAI models. Tune it for speed and cost.
Alternatives
Models to compare it with
GPT-6 Luna
OpenAI's most efficient model for focused, high-volume tasks, with vision, tool calling and structured outputs at the lowest price level in the family.
GPT-6 Astra
OpenAI's most capable model, built for the hardest end-to-end work: complex reasoning, coding, computer use and research.
Claude Sonnet 5
Anthropic's balance of speed and intelligence: a strong everyday model for assistants, document work, tool calling and coding.
Gemini 3.8 Flash
Google's most capable Flash model, stable since September 2026, for agents, software engineering and enterprise workflows with full multimodal input.
Keep exploring
Solutions, services and guides
Related services
View all related services- LLM integration Add a large language model to software you already have, with the guardrails, costs and logging handled.
- AI agents AI that takes actions in your systems, such as qualifying leads or processing requests, with people checking the results.
- AI copilots AI helpers built into your product or internal tools that draft, summarize and suggest while people decide.
- AI Product Development AI agents, knowledge assistants, copilots and document automation built into the way your team already works.
- Document automation Read invoices, forms, contracts and IDs, pull out the right fields and route them for review.
- AI workflows Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
Solutions
View all solutions- AI document processing Read forms, applications, IDs and statements, extract the fields you need and route each document for the right review.
- AI lead qualification Score, research and route every new inquiry so your team talks to the best leads first.
- Approval workflows Requests, approvals and reminders in one place, with clear owners and deadlines instead of long email threads.
- Automated quoting Draft accurate quotes and proposals from a request, your price rules and past work, for a person to approve.
- AI-assisted content workflows Briefs, first drafts, edits and repurposing in a workflow where people set the angle and approve every word.
- Compliance tracking Track filing deadlines, licenses and obligations in one place, with reminders and AI summaries of relevant rule changes.
Industries
View all industries- Education and elearning Course platforms, student portals, content workflows and AI tutoring assistants for schools and training companies.
- SaaS and startups MVPs, subscription billing, AI features, multi-tenant platforms and scaling support for founders and product teams.
- Marketing agencies Landing pages, content workflows, client reporting and white-label development capacity for marketing agencies.
- Finance and accounting Client portals, document collection, invoice and receipt processing, and reporting for accounting firms and finance teams.
- Real estate Listing sites, lead handling, CRM automation and document workflows for agencies, brokers and developers.
- Tax and compliance services Client portals, document checklists, case queues and deadline tracking for tax preparers and compliance firms.
Case studies
View all case studiesGuides and articles
View all guides and articles- How to choose an AI model for your business A step-by-step way to pick an AI model by testing candidates on your own tasks, data rules and budget.
- Where AI helps in development, and where it does not An honest map of the development tasks AI speeds up and the ones that still need experienced people.
- What are AI agents and how do businesses use them? What AI agents are, real business uses, the controls they need and how to start with one safely.
- How to keep customer data safe when using AI Practical steps to protect customer data when you use AI services, from data terms to access and logging.
- Prompt writing basics for business teams How to write prompts that get consistent, useful results from AI tools, with templates your team can reuse.
- AI chatbot vs AI agent What separates a chatbot that answers from an agent that acts, and when you need each.
MCP servers
View all mcp servers- Sequential Thinking The MCP project's Sequential Thinking reference server gives AI a structured way to break a problem into steps and revise them.
- Developer tools Servers for code hosting, version control, files, containers, error tracking and documentation lookup.
- Context7 Upstash's Context7 MCP server gives coding assistants current, version-specific documentation for thousands of libraries.
- Docker A community MCP server that lets AI list, run, stop and remove Docker containers and manage images, networks and volumes.
- Everything The MCP project's Everything server is a test server that shows every protocol feature. For building and testing MCP clients only.
- Figma Figma's official MCP server gives AI design context, screenshots, variables and assets, and can now write to the canvas.
Glossary terms
View all glossary terms- Large language model A large language model, or LLM, is an AI model trained on vast amounts of text that can understand and generate language, and often images and code.
- Structured output Structured output is when an AI model returns its answer in a fixed format, such as JSON matching a schema, so software can use it reliably.
- LLM integration LLM integration is connecting a large language model to your software and data, so AI features work inside your own products and processes.
- AI agent An AI agent is software that uses a language model to plan steps, call tools and act toward a goal, instead of only answering one question.
- AI copilot An AI copilot is an assistant built into a tool people already use, which suggests, drafts and explains while the person stays in control.
- Artificial intelligence Artificial intelligence is the broad field of building software that performs tasks that normally need human judgment, such as understanding language or images.
FAQ
Questions people ask us
Have a question that is not here? Ask us directly.
OpenAI positions it for complex coding and agentic workflows. It also suits document extraction and assistants that call tools.
Reasoning is now a setting on the main models, and several o-series models are scheduled to shut down in late 2026. Check the deprecations page for dates.
Yes. Sol is the mid-priced model. GPT-6 Luna is the lowest-cost model in the family.