# Should you use GPT-5.4 Thinking or GPT-5.4 Pro?

Date: 2026-03-16 · Author: Robert Scales · https://guidetoartificialintelligence.com/en/learn/use-gpt-5-4-thinking-gpt-5-4-pro/

**Answer:** Use GPT-5.4 Thinking for nearly all serious work, from reports and spreadsheets to coding and research, because it is fast enough, widely available and strong across OpenAI's published tests. Keep GPT-5.4 Pro for a small set of very hard problems, mainly difficult math, science, deep web research and some financial analysis, where its higher scores justify a slower answer and, in the API, twelve times the price.

GPT-5.4 comes in two reasoning versions. **GPT-5.4 Thinking** is the model paid ChatGPT users (Plus, Team and Pro) get when they want careful, step-by-step work; it can show a plan at the start of a long answer, and you can redirect it while it works. **GPT-5.4 Pro** is the version OpenAI positions for the hardest, most complex problems, when top performance matters more than speed or price. In ChatGPT it is offered on the Pro plan, which costs $200 a month in the US, and on Enterprise plans; developers reach both through the API as `gpt-5.4` and `gpt-5.4-pro`.

The natural assumption is that Pro is simply better. OpenAI's own published scores say something more useful: Pro wins clearly on some kinds of problems, ties on others, and on a few work tasks scores slightly lower. So the choice depends on the task, not on how important the task feels.

## What the published numbers show

Here is a selection from the evaluation tables OpenAI released with GPT-5.4. Each benchmark is a standard test set; higher is better.

| Test (what it measures) | GPT-5.4 | GPT-5.4 Pro |
|---|---|---|
| GDPval (professional work in 44 occupations) | 83.0% | 82.0% |
| Internal investment-banking modeling tasks | 87.3% | 83.6% |
| FinanceAgent v1.1 (financial analyst tasks) | 56.0% | 61.5% |
| BrowseComp (finding hard-to-locate facts online) | 82.7% | 89.3% |
| Humanity's Last Exam, with tools (expert questions) | 52.1% | 58.7% |
| FrontierMath Tier 4 (research-level math) | 27.1% | 38.0% |
| GPQA Diamond (graduate science questions) | 92.8% | 94.4% |

Two patterns stand out. On everyday professional deliverables, such as the documents, spreadsheets and presentations behind GDPval, the standard model is already at the top and Pro adds nothing. On problems at the edge of what models can do, such as research-level math and persistent web research, Pro's extra effort produces large gains.

## A worked task table

Applying those patterns to common jobs gives a practical starting point. The recommendations are a judgment based on the scores above, not results OpenAI published for these exact tasks.

| Task | Start with | Why |
|---|---|---|
| Draft a project report from your notes | Thinking | Office deliverables are where the standard model already leads |
| Clean and analyze a sales spreadsheet | Thinking | Same reason; check the formulas either way |
| Fix a bug or write a small feature | Thinking | Strong coding; quick feedback matters more than a tiny gain |
| Find a hard-to-locate statistic across many websites | Pro | Pro's largest practical gain is in persistent web research |
| Check a difficult proof or a tricky physics derivation | Pro | Research-level math and science show Pro's biggest margins |
| Build a detailed financial analysis with many steps | Try Thinking, then Pro | Results split: Pro led FinanceAgent but trailed on the banking-model tasks |
| Quick question, translation or rewrite | Neither | The faster Instant model is enough |

In the API, the price difference is concrete. GPT-5.4 costs $2.50 per million input tokens and $15 per million output tokens; GPT-5.4 Pro costs $30 and $180. A **token** is a small chunk of text, often a whole word or part of one. For an illustrative request with 20,000 tokens in and 5,000 tokens out, that is about $0.13 with GPT-5.4 and $1.50 with Pro, assuming both models produce the same number of tokens, which in practice they won't exactly.

Developers have a middle path too: GPT-5.4 accepts a reasoning effort setting, from `none` for quick replies up to `xhigh` for the hardest problems. Raising the effort on the standard model is worth testing before switching to Pro.

> **Try it:** Pick one hard question from your own work where you already know the right answer. Ask GPT-5.4 Thinking first and score the reply. If you have access to Pro, ask it the same question in a fresh chat and compare: was the improvement worth the extra time?

## How to use Thinking well

Most people who reach for Pro would get further by giving Thinking a better request. State the goal, the audience, the format and any facts the model must use; attach the files it needs. For long tasks, read the plan it shows at the start and correct it straight away, rather than waiting for a full answer built on a wrong assumption. That habit fixes many problems that look like a lack of intelligence but are really missing context.

## When is Pro worth the wait?

Pro is worth the wait when three things are true: the problem is genuinely hard, a better answer has real value, and you can check the result. Research-level math, a stubborn science question, or a search for a fact buried deep across many sources fit that description, and those are exactly the areas where OpenAI's published scores show Pro pulling ahead.

The wait is part of the design. When OpenAI introduced the first Pro option in ChatGPT, o1 pro mode, it explained that the mode uses more computing power to think harder, and that because answers take longer, ChatGPT shows a progress bar and notifies you if you switch to another chat. Plan for that: send the question, do something else, and come back.

Pro is not worth it for routine documents and spreadsheets, where the standard model scored as well or better, or for anything you need in seconds. And neither model removes the need to verify. A slower, more confident answer can still be wrong, so the more you rely on a Pro result, the more carefully you should check its sources, figures and reasoning before you use it.

## Sources

- Introducing GPT-5.4: https://openai.com/index/introducing-gpt-5-4/
- Introducing ChatGPT Pro: https://openai.com/index/introducing-chatgpt-pro/
- Introducing ChatGPT Go, now available worldwide: https://web.archive.org/web/20260117224241/https://openai.com/index/introducing-chatgpt-go/