Put the two feature lists side by side and you will struggle to tell them apart. Both have projects. Both build things for you. Both have an agent that goes off and finishes work. Both connect to your email, your drive, your Slack. So most people shrug and decide it does not matter which one they open.
It matters more than almost anything else you will decide about AI this year.
These two products are not copies of each other. Each company built the same feature for a different kind of task. Same name on the menu, different dish on the plate. Once you can see what each version was actually designed to do, choosing stops being a debate about which company you like and becomes a simple question: what is the job in front of me?
You are not picking a favourite. You are matching a tool to a task. That is the whole skill.
Projects: private memory versus shared assistant
Both products let you create a workspace that holds your context, and both call it Projects.
Claude's version is built as a private memory of how you work. You load your documents, your formats and your standards once, and every conversation inside that project inherits them. It is for consistency in your own recurring work.
ChatGPT's version does the same, and then adds something different: you can package that context into a Custom GPT and hand it to other people. It is built for distribution.
Reach for Claude when you want the same standard applied to your own work again and again. Reach for ChatGPT when a colleague or client needs to use the same assistant without you standing over them.
Artifacts versus Canvas: a working thing versus a long draft
Claude's Artifacts is built to produce something that works. A calculator, a tracker, a visualisation. It appears next to the chat and you improve it by describing changes out loud.
ChatGPT's Canvas is built to edit a long piece with you. A document or a block of code sits open on one side and you keep refining specific parts of it together.
Reach for Artifacts when you want a small tool that runs, not a document about the tool. Reach for Canvas when you are drafting something long and want to work through it paragraph by paragraph.
The agent: going in versus going out
This is the pair everyone is talking about, and the difference is the sharpest of the lot.
Claude Cowork is built to go into the work you already have. It opens the folders and tools you point it at, does the task inside them, and leaves the result for your review. Close your laptop and it keeps going.
ChatGPT Work is built to gather from everywhere and produce something new. It moves across your connected apps, pulls what it needs, and hands back a finished spreadsheet, deck, document or dashboard.
Reach for Cowork when the work already exists somewhere and just needs doing. Reach for Work when the inputs are scattered and you need one finished output at the end.
Teaching it your way: depth versus reach
Claude's Skills are built for depth in your own method. You package your instructions, reference files and sub-agents so it follows your process exactly, not approximately.
ChatGPT's Custom GPTs are built for reach. You wrap instructions and files into an assistant and publish it so a team, or the public, can use it.
Reach for Skills when a method has to be followed precisely every time. Reach for Custom GPTs when many people need to do the same thing the same way.
Your documents: reading closely versus computing
Both read your files, and here the difference is easy to feel in a single afternoon.
Claude is built for reading long and reading closely. Contracts, reports, policies, anything where the wording and the nuance carry the meaning.
ChatGPT is built for doing things to data. Its analysis tool actually computes on your spreadsheet and hands back numbers and charts.
Reach for Claude when the document is long and you need understanding. Reach for ChatGPT when the file is numbers and you want calculations back.
Searching the web: an answer versus a briefing
Claude is built for answering the question in front of you with current information, and telling you where it came from. ChatGPT's deep research mode is built to go away, read widely, and return a structured, sourced report.
Reach for Claude when you need a quick sourced answer inside the work you are already doing. Reach for ChatGPT when you want a briefing document on something unfamiliar.
One glance, your task, your tool
If you remember nothing else from this piece, keep this list somewhere:
The one line to remember
Almost every difference above collapses into a single sentence.
Claude is built to work inside what you already have. ChatGPT is built to gather from everywhere and produce something new.
Read your task. Decide which half of that sentence it belongs to. Open that one. You will be right far more often than the people arguing about benchmarks.
Two honest caveats
First, both companies ship changes constantly. Plan names, limits and prices move around, so check the official pricing pages on the day you buy rather than trusting any comparison, including this one.
Second, neither of these removes your judgment from the job. They remove the typing, the clicking and the copying between windows. The review, the sign-off and the responsibility stay exactly where they always were. Anything that leaves your desk with your name on it is still yours.
Want this as a document?
Everything above, laid out side by side with a one-glance decision card at the end, is available as a free three-page PDF you can keep or forward to your team.
Download it here: Claude vs ChatGPT: Same Features, Different Jobs (PDF)