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ChatGPT, Claude and Gemini — choosing on the work, not the benchmark

An article comparing these three on benchmark scores is wrong within months, because the versions keep moving. What does not move is the shape of the work and your organisation’s constraints — so this compares on those.

By task type Adoption conditions Running two

The short answer

Ranking the three is close to meaningless: models change every few months and the ranking changes with them. What actually decides the choice in practice is three things — what work you will use it for, which productivity suite you already run, and what your data constraints are.

The conclusion up front: for most organisations the answer is not to pick one. Setting a default and running a second for specific work is both common and reasonable.

Criterion 1 — the suite you already use

Google Workspace — Gemini working directly inside docs, mail and sheets is a real advantage. Removing the window-switching is what drives actual usage.

Microsoft 365 — Copilot has the same advantage for the same reason, and accounts and permissions are already connected, which lowers the rollout cost.

Tools are scattered — The integration advantage is small, so choose purely on output quality and data terms. This is where the field is widest.

Criterion 2 — the shape of the work

Work	What matters	How to judge
Reading and analysing long documents	Handling long inputs, holding the evidence	Run the same prompt on your real documents
Writing and reviewing code	Code quality and tool integration	Test on work from your actual repository
Research	Citations and currency	Check whether the source links are verifiable
Generating images and assets	Output quality and commercial use terms	Read the licence terms without exception
Answering from internal data	Integration and permission handling	Confirm permissions apply at retrieval
Automating repetitive work	API and workflow tool support	Check what your existing automation tool supports

Criterion 3 — adoption conditions (where organisations actually get stuck)

Training use — Whether the business plan documents that your input is not used for training. Personal and organisational plans differ here.

Storage location — For a sector or contract requiring domestic storage, this narrows the field immediately.

Administrative controls — SSO, audit logs, permission separation, usage management. For a team rollout these matter more than model performance.

Korean quality — All three handle Korean, but they differ in how natural the register and phrasing are. Comparing on your own real documents is the only reliable method.

Billing terms — Whether local-currency billing and tax invoices are available. Accounting friction does change adoption decisions.

How to compare — a procedure more reliable than benchmarks

Pick ten prompts you actually use. They have to be work you genuinely needed last month, not invented examples.

Run the same ten through all three and score the results by hand. Three criteria are enough: factual accuracy, how close it is to usable, and how natural the Korean reads.

Then fill in the adoption conditions table. It genuinely happens that the strongest performer fails on data terms — and when it does, the right answer is the best of those that pass.

This takes half a day and beats ten benchmark articles, because it measured your work.

Frequently asked questions

So which one is best?

It depends on the work and the constraints, and it changes every few months. Which is why this post does not rank them. Running the ten-prompt procedure gives you an answer on your own terms — and you can rerun it when the next version lands.

Does running two cost twice as much?

Only if both go company-wide. In practice a default goes to everyone and a second goes to the small group doing the specific work. The extra cost is then just those seats.

Can we use personal plans for work?

The data terms differ and there is no audit log. If company data is involved, moving to an organisational plan is the safe path — a control question, not a performance one.

Can we compare on the free tiers first?

All three have free usage, so quality comparison is possible. But free-tier data terms differ from paid, so use a de-identified sample rather than real internal documents.

Check the conditions

Filter on constraints first

Every product page in the AI product directory states Korean support, data location and tax invoice availability.

Open the directory