ChatGPT or Claude subscription? A one-week keep-or-drop test

Choose a ChatGPT or Claude subscription by comparing the work you actually do: give both the same tasks for a week and record which answers you would use. Consider dropping the lower-scoring plan if it has no recurring job or essential feature you would miss.

How should you choose a ChatGPT or Claude subscription?

Choose by recurring usefulness, including the tools you need inside the subscription. A polished answer to an interesting prompt won't tell you whether a plan deserves another renewal.

A subscription is more than its model. The office-task example below compares answers side by side in EVA; to judge a whole plan, also try the files and tools you use in each native app. If you want the plan-by-plan details first, see Is ChatGPT Plus worth it? and Is Claude Pro worth it?.

Prices and plan details below were checked on October 30, 2026.

Which tasks should you test?

Pick three to five recurring jobs from your recent chat history, using roughly the last two weeks as a starting point. Skip the clever prompt you tried once and never needed again.

Useful candidates include meeting summaries, customer emails, spreadsheet interpretation, code review, and research summaries. For a spreadsheet task, calculate the expected answer yourself before opening either response. If you can't judge a coding answer, don't let its confident explanation decide the score.

For each job, write down what an acceptable answer must preserve. A meeting summary should keep the agreed dates and unresolved questions. A delivery email shouldn't promise an earlier shipment without approval.

Include a difficult example from your own work, with sensitive details removed. An ordinary task with an awkward constraint is more useful here than a puzzle selected to embarrass a model.

How do you run a fair side-by-side test?

Give both tools the same input on the same day, then compare the first answers before asking for revisions. Record the model labels and settings you can see.

• Start fresh conversations and keep the source material identical.
• Remove personal information and anything you're not authorized to upload.
• Match relevant settings where possible, including search access and custom instructions.
• Save the original outputs before making corrections.

Write the prompt once. If you discover an ambiguous instruction, revise it for both tools and mark that run separately. Don't quietly coach your favorite until it wins.

For the controlled pass, avoid bringing one tool's long conversation history into the comparison. Later, test your normal setup too. If your saved instructions supply the sender name for an email, note that. In our synthetic test, no sender name was supplied, which made an added signature a detail to correct.

OpenAI's plan comparison lists different model and tool access by tier. Check what your account exposes rather than assuming that a model name in someone else's test matches your setup.

How should you score the answers?

Score factual correctness and faithfulness to your input before judging style. Use the following proposed scale: 1 means unusable, 2 means usable after edits, and 3 means ready after your normal review.

Copy the table for each task. A higher score always means a more usable answer, including the editing row. If speed matters to you, note the actual correction time separately.

An invented fact outweighs good prose. Don't let a neat total hide it. Beside the score, record whether you'd use the answer and why. "Had to remove an invented sender name" is a useful note; "felt less smart" isn't.

For analytical tasks, the next step can be a clear statement of what the data cannot establish. Don't reward an answer for inventing an action you never requested.

What did one real office-task test show?

Our October 28, 2026 EVA test produced a tie on arithmetic, while the meeting and email answers differed in how closely they stayed within the supplied facts. We ran one combined prompt with synthetic office data.

The interface labels were GPT-6.1 Sol, Claude Opus 5.5, and Gemini 4 Argon. We didn't independently capture API version identifiers. The prompt asked for a meeting summary, a delivery email, and interpretation of a conversion table.

For the table, the fictional September data had 100 trials and 20 paid conversions; October had 150 trials and 24 conversions. All three answers gave 20% and 16%, a drop of 4 percentage points, and said the table alone didn't establish the cause.

The following excerpts are from the saved October 28 test responses:

GPT-6.1 Sol:
Open dependency: security review has neither an owner nor a deadline.

Claude Opus 5.5:
Best regards, Jordan

Gemini 4 Argon:
The pilot launch remains on track for November 9.

The input supplied no sender name. It also said the launch date remained unchanged, without saying the launch was "on track." Claude's meeting summary added a risk assessment and an instruction to assign the missing owner and deadline.

For input fidelity, we preferred GPT for the meeting summary and email in this run. Gemini's email also met the main requirements. The table interpretation was a tie.

In short: all three models got the conversion math right, and input fidelity separated the writing answers. One run isn't a model ranking. The habit it supports is simple: check for details you never asked the model to add, even when the arithmetic is right.

When does it make sense to keep both?

Keep both when each regularly handles work you need, or when a specific tool makes an otherwise weaker subscription useful. Write down the job before making that exception.

Open the file you normally work with and finish the job where you normally do it. If you rely on a coding agent, include a real session in your notes; a good chat answer doesn't tell you how the agent handles your repo.

Also record interruptions. OpenAI's Plus help page says usage limits can vary; Claude's pricing page says capacity depends on conversation length, model, and features used. Write down what you were doing when a limit stopped you. A blocked file review matters more to this decision than an unused allowance.

How do you decide after a week?

Review task preferences and essential features together, then choose whether to keep both or stop renewing the less useful plan. Use the scores to explain the decision rather than make it automatically.

As a suggested rule, consider canceling a subscription if you preferred it for at most one task type and it has no essential role. A single important recurring job can justify keeping it. If the answers tie, keep the interface you reach for more often unless the other has a feature you need.

Before changing billing, check your renewal terms and preserve anything you need from that account. Don't make the decision during an unusually quiet week if your normal workload includes demanding monthly work.

FAQ

Is ChatGPT Plus or Claude Pro better value?

At our October 30 price check, ChatGPT Plus listed $20/month, and Claude Pro listed $20 billed monthly, excluding applicable tax. Judge value by completed work and needed features, not the matching headline price.

Can I compare without paying for both?

Yes. Start with access you already have. Both official pricing pages list free plans at the date checked above. Don't treat free-tier results as a complete comparison of paid subscriptions.

How long should the test run?

Start with a normal workweek. If you mostly used AI to rewrite emails, but your monthly reporting task is still ahead, wait until you've tried that too.

Does free-tier access cover every part of this test?

Check the model and tools available to your account against the dated plan sources above. Mark unavailable tasks as untested rather than scoring them as bad answers. Leave the scorecard blank for work you couldn't run.

Run it in two tabs, or one

Two browser tabs are enough for this test. For more structure before you switch, How to compare AI models before switching walks through a longer version. We ran the example above in EVA, which puts the answers side by side from one prompt. If that's easier for you, try EVA with the prompt you've already written.