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Comment by mrtksn | Hacker News Reader

My understanding was that with GPT-5 you don't actually get the high quality stuff unless the system decides that you need it. So, for simple questions you end up getting the subpar response. A bit like not getting hot water until you increase the flow enough to trigger the boiler to start the heating.

Lately I enjoy Grok the most for simple questions, even if it isn't necessarily about a recent event. Then I like OpenAI, Mistral, Deepseek equally and for some reason never felt good about Gemini. Tried switching to Gemini Pro the last two months but I found myslef going back to ChatGPT's free mode and Grok's free mode. Cancelled yesterday and now happily back to ChatGPT Plus.

I got %80 GPT-5 preference anyway.

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I'm back on ChatGPT today. The UI is so fast. I didn't realize how the buggy and slow Gemini UI was contributing to my stress levels. AIStudio is also quite slow compared to the ChatGPT app. Is it that hard to make it so that when you paste text into a box and press enter, your computer doesn't slow down and get noisy? Is it really that difficult of an engineering problem?

I HATE how you can't re-write a previous response in gemini, only the most recent response.

Before GPT-5, I've used almost exclusively o3 and sometimes o3-pro. Now I'm using GPT 5 Thinking and sometimes GPT 5 Pro. So I think that I have some control over quality. At least it thinks for few dozens of seconds every time.

> GPT 5 Pro

Have you noticed either of these things:

(1) If your first prompt is too long (50k+ tokens) but just below the limit (like 80k tokens or whatever), it cannot see the right-side of your prompt.

(2) By the second prompt, if the first prompt was long-ish, the context from the first prompt is no longer visible to the model.

definitely 1!

it seems to truncate your prompt even under the "maximum message length" and yeah around 55k is where it starts to happen.

extremely annoying. o1 pro worked up until 115k or so. both o3 and gpt5 have the issue. (it happens on all models for me not just the pro variations)

with the new 400k context length in api i would expect atleast 128k message lengths and maybe 200k context in chat.

Do you have a workaround?

I'm putting the highest quality context into the 50k tokens, and attaching the rest for RAG. But maybe there is a better way.

i split the context and give it in two messages :/

Sorry, can't really answer to it, as I very rarely using any long context. I prefer to either edit previous question or just start new chat to keep context short. And even when I need to dump code, I prefer to choose relevant snippets. I'm aware that LLM quality degrades with long contexts, so I've trained myself to avoid it.

GPT and Grok have the best everyday-feel. Gemini issn't quite there as a product.

What about Claude Opus 4 and 4.1?

I like Claude too but wasn't using it much lately. I don't know why, maybe because the UI is too original? Maybe because it was a bit slow the last time I used Claude? Maybe because the free usage limits were too low so didn't got hooked into to upgrade? And on the API side of things didn't bother to try I guess.

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