ChatGPT

What ChatGPT is

ChatGPT has quietly become the default “everything” app for AI. Brainstorm a pitch, dig into a research question with Deep Research, hand it a spreadsheet, sketch out code with Codex, generate an image, or just talk to it through voice mode — without switching tabs or re-explaining your context each time. That’s the whole pitch: one place instead of five.

OpenAI now runs six consumer-facing tiers: Free ($0), Go ($8/month), Plus ($20/month), Pro (from $100/month, with a $200/month step up for 20x the usage), plus Business (from $20/seat) and Enterprise (custom pricing) for teams. Plus is where the current flagship model, GPT-5.6 Sol, plus Deep Research, Codex, and Agent Mode actually live — Free and Go run a lighter model and cap you much sooner. If you’re deciding where to start, Plus is the plan built for daily individual use; Go mainly makes sense if you’re a light user who wants to skip ads for cheap.

Capability and output quality

The strongest thing about ChatGPT is how wide the net is, not any single skill. For writing, it moves from rough brainstorming to structured drafting without much friction. Deep Research actually goes out and gathers sources rather than answering from memory alone — Plus includes 10 runs a month, Pro extends that to 250. File uploads and code-backed tools make it genuinely useful against spreadsheets and documents, not just decorative. Codex covers real coding workflows, and image generation and voice round it out for anything that isn’t purely text.

None of this is best-in-class on its own. A citation-first research tool will source more rigorously, a dedicated image generator gives finer control over style, and a coding assistant that lives inside your actual repo will know more about your codebase than a chat window ever will. ChatGPT’s edge isn’t peak performance in any one lane — it’s that moving between lanes costs you almost nothing.

Features and workflow

This is the deepest feature list we’ve reviewed on any assistant: web and mobile apps, a desktop client, voice mode, image generation, file uploads, persistent memory, Projects, scheduled tasks, custom GPTs, Deep Research, Codex, Agent Mode, and ChatGPT Work for teams. A casual user can ignore almost all of it and just chat. A power user can wire files, tools, and running projects together and end up with something closer to a work environment than a chatbot.

The cost of that breadth is real complexity. Six pricing tiers, model names that get reshuffled every few months (the current flagship shipped as three variants — Sol, Terra, and Luna — within the same release), and feature access that differs by plan. A new user can ignore all of this and just type. Getting real value out of the higher tiers means understanding what you’re actually paying for, which OpenAI doesn’t always make obvious on the pricing page itself.

Ease of use

The core interaction hasn’t gotten any harder as the feature list has grown: type what you want, refine it by talking. That’s still the entire learning curve, and it’s a real strength — hand this to someone who’s never touched an AI tool and they’ll be productive in minutes. Being on every major platform helps too; it’s as easy to use on a phone as at a desk.

“Easy to start” isn’t the same as “hard to use badly,” though. You still need to give it decent context and actually check the parts of the answer that matter. The people who get the most out of it aren’t hunting for clever prompts — they’re the ones feeding it good source material, clear constraints, and a real sense of what “done” looks like.

Value for money

Free is a real product, not a teaser — useful enough to judge the core experience. Go, at $8/month, mostly buys you a higher message cap and no need to think about limits; it’s an easy tier to skip unless ads genuinely bother you and Plus feels like overkill. Plus, at $20/month, is where the actual value sits for most people: the flagship model, Deep Research, Codex, and Agent Mode all live there. Pro only earns its $100–$200/month price if you’re regularly hitting Plus’s limits — 5x the usage at $100, 20x at $200 — which in practice means heavy daily use, not occasional projects. Business runs from $20/seat and adds the compliance and admin controls (SSO, SOC 2) that individual plans skip entirely.

Limitations

It still produces confident, wrong answers — web access and tool use reduce some failure modes, they don’t remove them. For anything with real stakes (legal, medical, financial, security decisions), treat it as a first draft that needs checking against a primary source, not a final answer.

Worth knowing before you connect anything sensitive: on Free, Go, Plus, and Pro, your conversations can be used to train future models by default, with an opt-out available in settings. Business and Enterprise plans don’t train on your data by default. If you’re planning to feed it company or client information, check that setting first rather than assuming.

The other honest limitation is that this review has a shelf life. Six tiers, model names that shift every few months, and features that move between plans mean comparisons and screenshots go stale faster than for most software. Take the “last reviewed” date seriously — check OpenAI’s own pricing page before you subscribe, since numbers here can lag reality by the time you read this.

Who ChatGPT is best for

Anyone who wants one capable tool across a wide range of work — students, researchers, developers, marketers, teams juggling writing, analysis, and production in the same week. If your workflow is narrow and specific, it’s still worth comparing a dedicated alternative for that one task. But as the general-purpose baseline everything else gets measured against, ChatGPT still earns that spot — as long as you land on the right plan for what you actually do.