ChatGPT

About ChatGPT

ChatGPT is OpenAI's consumer and workplace AI assistant family. It spans free and paid individual plans, managed business and enterprise workspaces, education deployments, and a growing set of shared capabilities including chat, web search, voice, images, deep research, apps, projects, memory and longer-running work. This page focuses on how the ChatGPT range is organized and how its plans differ at a portfolio level. OpenAI's corporate structure belongs on the company page, while exact plan features and buying trade-offs belong on the relevant product pages.

How is the ChatGPT range organized in 2026?

ChatGPT is no longer only a single chat interface with a free and paid tier. OpenAI currently offers Free, Go, Plus and Pro for individual users, with Business and Enterprise for organizations and Edu for universities. OpenAI also offers specialized education programs such as ChatGPT for Teachers in the United States. The plan names indicate different access, limits, administration and privacy arrangements rather than different underlying companies or unrelated products.

The core experience is still conversational, but the product surface has widened. ChatGPT can search the web, work with uploaded files and images, generate and edit images, use voice, organize ongoing work in Projects, connect to supported apps and data sources, and perform multi-step research. In 2026 OpenAI also expanded ChatGPT Work, an agentic mode for longer tasks that can create finished materials and work across connected tools, while Codex remains the dedicated software-development experience.

What is the difference between Free, Go, Plus and Pro?

Free is the entry point and includes core ChatGPT capabilities with lower usage limits. Go is a lower-cost paid tier that OpenAI launched globally in January 2026; in the United States it is listed at $8 per month. Plus remains the mainstream paid individual plan at $20 per month and adds broader model and tool access, higher limits, advanced reasoning access and expanded features. Pro is the high-usage individual tier at $200 per month and is aimed at people who need the highest available limits and access to the most capable options.

These prices describe the consumer plan ladder, not API access. OpenAI bills API usage separately, so paying for Plus or Pro does not create an included API allowance. Model names and exact usage limits can change during rollouts, so buyers should check the current model picker and subscription screen rather than rely on an old comparison table.

How do Business and Enterprise differ from personal plans?

ChatGPT Business adds a managed workspace for teams, centralized administration and billing, company context and connections to workplace tools. OpenAI currently lists the standard Business seat at $20 per user per month when billed annually and $25 when billed monthly, with a two-user minimum. OpenAI states that business data is not used to train its models by default. Enterprise uses custom pricing and adds enterprise-grade controls, support and deployment options.

Business and Enterprise should be evaluated as organizational software rather than upgraded personal subscriptions. Administration, identity, data handling, connected apps, workspace policies, usage controls and compliance requirements matter as much as model access. In 2026 OpenAI also began introducing more flexible usage and credit structures for business, enterprise and education workspaces, so large buyers should confirm the commercial model in their agreement.

What capabilities are shared across ChatGPT plans?

The shared product architecture includes chat, search, file and image analysis, image generation, voice, Projects and access to a changing set of models and tools. Availability and limits vary by plan. OpenAI's current help documentation says web search is available across Free, Go, Plus, Pro, Business, Enterprise and Edu. ChatGPT Images 2.0 is available across tiers, while higher-cost plans can receive broader or earlier access to advanced modes and more usage.

Apps are another important layer. OpenAI renamed connectors to apps in late 2025 and now uses the term for integrations that can search, reference or act on information from external services. This makes ChatGPT increasingly useful as a front end to other work systems, but it also raises permission and governance questions that organizations should review before enabling broad access.

Where do Deep Research, Work and Codex fit?

Deep Research is a multi-step research capability that searches and synthesizes information into cited outputs. It is available across several paid plans, with access and limits depending on the subscription. ChatGPT Work, expanded in July 2026, is aimed at longer tasks and finished deliverables such as documents, spreadsheets, presentations, reports and Sites. It can use connected apps and, on supported desktop configurations, local files, a built-in browser and computer-use capabilities.

Codex is related but should not be treated as the same thing. Codex is OpenAI's dedicated software-development agent and has its own workflows and usage structure. On the newer desktop app, Chat, Work and Codex can appear in one application, but they remain distinct experiences with different purposes.

Who benefits most from the ChatGPT ecosystem?

The range is useful for individuals and teams that want one assistant to cover writing, research, analysis, coding help, images, voice and connected-work tasks instead of buying a separate tool for each job. Plus is often the most relevant tier for an individual who regularly uses advanced tools, while Pro is better matched to much heavier personal use. Business and Enterprise become more appropriate when shared administration, identity, company knowledge and organizational data controls matter.

A narrower specialist product can still be a better choice when one workflow dominates. Dedicated coding environments, enterprise search platforms, design tools, meeting products or research systems may provide deeper controls for their specific job. The main reason to standardize on ChatGPT is breadth plus shared context, not the assumption that one assistant will always be best at every specialist task.