ChatGPT is OpenAI’s chat product, running on GPT-5.5. Against Claude and Gemini it wins on one job: agentic work, where you hand the model a multi-step task and it keeps going until the task is finished. For a single question, which model you pick barely matters.
Is ChatGPT better than Claude or Gemini?
For the average user, on the work most people do all day, no. General intelligence across the three is strong enough that you cannot tell them apart on a summarised service agreement or a customer email. The gaps open per job. Here is what each model in this series is actually put forward for.
| Job | ChatGPT (GPT-5.5) | Claude | Gemini |
|---|---|---|---|
| Everyday questions and drafting | No visible difference | No visible difference | No visible difference |
| Multi-step agent work | The strongest of the three | Runs for hours and checks its own work | Strong on long sessions, off a million-token context window |
| Coding | Codex, neck and neck with Claude | What it is best at, with Claude Code as its own product | Not a stated strength |
| Images and video | Strong for everyday use, not professional work | Not a stated strength | Studio-level output, including Nano Banana |
| Connectors and integrations | A large set of connectors and MCPs | Not a stated strength | Built into Gmail, Calendar and Search |
| Work where being wrong is expensive | Safety rules sit in the system prompt, so they can be overridden | Safety rules written in during pre-training | Not a stated strength |
Two rows decide most real choices: agent work and coding.
What is ChatGPT best at in 2026?
Agentic work. Agentic means you give the model a job rather than a question. It reads what came in, decides what to do next, calls whatever tools it needs, and works out on its own when it is done.
An after-hours HVAC call is four of those decisions: read the message, check the diary, book the slot, text the customer back. Work shaped like that runs well on GPT-5.5, and if you are building an agent it is the model to start with.
Codex is OpenAI’s model built specifically for software development, and it goes neck and neck with Claude. Most owners meet it second-hand rather than directly, because the coding tools an engineer uses are often wrappers with Codex or Claude doing the work underneath.
Images and video are strong for everyday use. Not for professional photography.
Then there is the ecosystem, which is the advantage nobody markets. The ChatGPT platform is extremely popular, it carries a large set of connectors and MCPs that integrate cleanly, and OpenAI ships frontier features fast. If being on the newest capability matters to you, GPT usually gets there first.
Is GPT-5.6 available yet?
Not widely. OpenAI started rolling it out a few days before we recorded this and it is still not readily available to everybody. How capable it is against GPT-5.5 is unknown, including to the people who have it. Scope your work on GPT-5.5.
Should you switch models?
If your team uses AI to answer questions, draft copy and summarise documents, pick whichever tool they already have. Switching will not pay for itself.
If you are building something that runs on its own, a dispatcher that triages inbound jobs overnight, an agent that chases unpaid invoices across a portfolio of properties, test it on GPT-5.5 first. Multi-step is where the gap between the models is real, and it is the only comparison that will tell you anything.
Then plan around price. OpenAI’s recent releases have pushed the cost of running a model down rather than the intelligence up, so the workflows worth scoping now are the ones you already rejected as too expensive to run at scale.
OpenAI and ChatGPT: the timeline from GPT-1 to GPT-5.5
OpenAI started in 2015 as a non-profit and has since become a for-profit business, mainly backed by Microsoft. Sam Altman and Greg Brockman co-founded it, are both still there, and are driving most of the development.
| When | Model | What it added |
|---|---|---|
| 2018 | GPT-1 | First build on the then-new transformer architecture |
| 2020 | GPT-3 | The early seeds of what a chat product could be |
| November 2022 | GPT-3.5 | ChatGPT launches. 100 million users inside a week |
| Early 2023 | GPT-4 | The first model that could do work sustainably |
| 2024 | GPT-4o | Reasoning, plus text, image and voice in one place |
| 2026 | GPT-5.5 | One unified system, with Sora and DALL-E folded in |
Sora and DALL-E were separate products until that last step. Everything runs through one model now, which is why ChatGPT is the only OpenAI product most people ever open.