ChatGPT vs Claude vs Gemini: what GPT-5.5 is best at

ChatGPT — watch on YouTube
4 min

In 30 seconds

  • ChatGPT runs on GPT-5.5, and its clearest edge over Claude and Gemini is agentic work: multi-step jobs the model runs to completion.
  • On everyday questions the average user cannot tell the three frontier models apart, so switching for that alone buys you nothing.
  • GPT-5.6 is rolling out but not widely available, and OpenAI's recent releases have pushed the price of running a model down rather than its intelligence up.

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.

Full transcript

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[music] Hey, my name is Muhammad [clears throat] and I'm the CEO of Iron. My name is Luka and I'm the CEO of Iron. Luka, in these AI model series, we're going to be going through some of the most popular AI models on the market right now, starting with GPT from OpenAI.

All right, so let's start with the one that we're most familiar with, which is ChatGPT. We've probably heard some of the names behind them like Sam Altman and Greg Brockman. They're essentially the co-founders and currently still at OpenAI and they're spearheading a lot of the development in OpenAI. What's really important to note is that they actually started off as a non-profit back in 2015 and over the last couple of years have actually transitioned into a for-profit business that's mainly backed by Microsoft. But let's look at the actual timeline. So if we go back to 2018, they actually started building the GPT-1 off of the new transformer architecture, not knowing that it would be what it is today, but it essentially took still two more years to get it to a level where GPT-3 was able to start seeing some of the early seeds of what's possible with ChatGPT. ChatGPT then came out in November 2022 with GPT-3.5 [music] and within a week, 100 million users have started using ChatGPT. A couple months later, early 2023, GPT-4 comes out, which is now the first model that can actually do work sustainably. And then very quickly, not even a year later, we're at GPT-4.0, which is the first reasoning model that can actually do multimodal functionalities like how we spoke about in earlier videos, text, image, voice all in one area. And then within a year's time, we're at GPT-5.5 and this is when that earlier architecture that we spoke about is now becoming a one unified system where ChatGPT is being used for everything. Previously, OpenAI had Sora and DALL-E, other multimodal models, which then they consolidated everything into GPT-5. Right now, we're at GPT-5.5, and I think a couple of days ago, GPT-5.6 came out. Um still not readily available for everybody.

However, they're making significant strides towards making AI a lot more cheaper, um not really more intelligent. So, that could kind of be a little bit of a clue of where these models are going in the coming years. Cool. And as we both know, um the frontier models have gotten so good at doing almost everything in 2026. Let's dive into what ChatGPT really shines at uh with respect to other LLMs available in the market right now.

For sure. So, you just said it. For the average user, they typically won't see the difference between using Gemini, Claude, or ChatGPT. Uh mainly because the general intelligence part is substantially strong enough that it can just cater to the average user. Um however, where GPT, for example, is really shining is in the agentic work.

So, anything that you need multi-step processes, we've spoke about what agents can do. All that works really well on the GPT-5.5 models. So, if you're running an agent, you'll probably get the best results running GPT-5.5.

However, there are other cases, like, for example, coding, where if you use Codex, their specific model built for software development. Um it is an extremely strong model, probably goes neck and neck with with Claude, which we'll discuss in a later video.

Um if you're using any multimodal, but for regular use, multimodal's not like professional, you know, photography or anything like that. Really, really strong on image generation, video generation. Um and then generally, they have a very strong ecosystem, the ChatGPT platform is extremely popular, um and they have a bunch of connectors and a bunch of MCQs that integrate very well with them. Um and generally, they're very fast with shipping the latest sort of frontier features. So, if it's very important for you to sort of be on the edge and to sort of see what these models are capable. um Being on a GPT model gives you that benefit.

Okay, and as we've mentioned, OpenAI has already started rolling out GPT-5.6. It's not widely available to the public right now, but we're yet to see how capable that model is compared to its predecessor. So, guys, if you enjoyed this video, make sure you subscribe. You can also subscribe to our newsletter.

Link's down in the description below. You can connect with us on LinkedIn. We're very active on a daily basis. Until next time, we'll see you in the next video.

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