OpenAI Launches ChatGPT 5.4
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What new features does ChatGPT 5.4 introduce?
OpenAI has just rolled out ChatGPT 5.4. There's actually a couple of cool features in here that I'm really excited about that I've been wishing ChatGPT has been able to do in the past. And they finally launched it. And of course, if you look at all of their marketing, it's going to just basically be them saying this is our most capable model yet. And of course, it's the most capable model. If it wasn't, I mean, what would they even be making an update for? So I'm just going to get past all of the hype and all of the buzz from what they said in their launch. And I'm going to tell you some really interesting use cases and some ways that I actually think this is useful. GPT 5.4. Before we get into all of that, if you want to try all of the latest models, go check out my startup, AIbox.ai.
We have the latest models from the top 15 different AI companies, everything from Grok to Gemini to Anthropic to OpenAI.com. 11 labs for audio, tons of cool image generation models. I think there's over 50 models on the platform total. You can try all of them side by side, and it's only $8.99 a month. So much cheaper than ChatGPT, but you get way more models. And of course, you can also use it to automatically create AI workflows that can complete tasks for you that are automated.
How does ChatGPT 5.4 enhance professional capabilities?
So the There's a ton of cool stuff going on, but go check out AIbox.ai if you want to get access to all of the top models for only $8.99 a month. And it's 20% off if you get an annual plan as well. So there's a lot of cool stuff there. All right, let's get into what's going on. The first thing I want to mention here is that this is called GPT-5.4 Thinking. They have a higher performance variant that is known as GPT-5.4 Pro. But both of these together are designed to kind of handle everything from some complex analysis. They do a lot of coding, a lot of long running workflows across a lot of different professional software tools. And they're kind of dubbing this as like their professional work tool. They're trying to get into, you know, into the hands of more working professionals.
And this is coming right on the backs of them signing a whole bunch of deals with a bunch of different consulting firms that are going to allegedly get ChatGPT into more businesses and in kind of the professional environment. And at the same time, they're having kind of this, you know, they're locked in a battle with even Google's in this right now, but really with Anthropic for Anthropic's Cloud Code, their Codex tool. They're really trying to push forward in kind of how software is using AI models and how computer use is going on. So this is where they're really focusing. One of the most, one of the biggest changes basically about this is the scale. So in the API, GPT 5.4 has a context window of up to a million tokens, which basically lets them work with huge documents, really big conversations, big data sets.
And really, I mean, if you think about this, a huge benefit is going to be coding where you can look at bigger code, you know, code bases to actually work with. So this was something that Anthropic was really crushing at and then OpenAI is trying to get into this. OpenA also says that their model is specifically more what they're saying is token efficient, which I this is actually one thing that I'm excited about. Basically can solve the same problems using a lot less tokens and GPT 5.2. So your costs are going to come down. It's actually kind of cool if you already had 5.2 running in a software, which even if you don't, a lot of the software you use will. The costs come down a lot for that, and it also gets a lot faster.
So the costs come down and the speed goes up. And so, yeah, for me, this is something I'm actually excited about. So as far as how the benchmarks look, I know, you know, I'm not trying to like sit here and nitpick the benchmark percentages, but I did want to talk about some interesting use cases and reasons why these are why they're good. Specifically, it's it's kind of leaning on a bunch of the better known benchmarks.
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