What am I missing about all the hype around ChatGPT Astra 6?

I've been seeing an incredible amount of hype and praise around Astra 6 lately, with some people talking about it as if it represents a major leap forward in AI capabilities.

After spending a fair amount of time using it myself, primarily for programming and software development, I'm genuinely struggling to understand where that level of enthusiasm is coming from.

This isn't meant as an anti-OpenAI post, nor am I trying to start another "Claude vs. ChatGPT" argument. I'm genuinely interested in understanding what other people are seeing that I might be missing

In my own use case, which is mainly coding, I've found Claude Opus 5 to be noticeably more capable and useful. It tends to handle longer workflows better, follows complex instructions more consistently, and generally requires less intervention from me to get to the result I'm looking for.

With Astra 6, my experience has been considerably less impressive. It certainly has strengths, but so far I haven't encountered anything that would justify the almost reverential level of praise I've seen around it.

Obviously, model performance is highly dependent on the type of work you're doing, so my experience isn't necessarily representative of everyone else's. That's exactly why I'm curious:

For those of you who genuinely consider Astra 6 exceptional, what specific tasks or workflows are you using it for where it clearly outperforms models like Opus 5?

I'm completely open to the possibility that I'm either using it for the wrong kinds of tasks or simply haven't discovered where its real strengths are yet

What am I missing?