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Comment by azan_ | Hacker News Reader

It's amazing how different are the experiences different people have. To me every new version of chatgpt was an improvement and gemini is borderline unusable.

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I got the same experience. Dont get how people are saying gemini is so good.

Gemini has a great model, but it's a bad product. I feel much happier using ChatGPT because Gemini just seems so barebones and unpolished. It has this feeling of a tech demo.

A lot of people still have a shallow understanding of how LLMs work. Each version of a model has different qualities than the last, each model is better or worse at some things than others, and each responds differently to different prompts, styles. Some smaller models perform better than larger ones. Sometimes you should use a system prompt, sometimes you shouldn't. Tuning settings for the model inference (temperature, top_p, penalties, etc) significantly influence the outcome. (https://www.promptingguide.ai/introduction/settings, https://platform.openai.com/docs/guides/optimizing-llm-accur...)

Most "big name" models' interfaces don't let you change settings, or not easily. Power users learn to use different interfaces and look up guides to tweak models to get better results. You don't have to just shrug your shoulders and switch models. OpenAI's power interface: https://platform.openai.com/playground Anthropic's power interface: https://platform.claude.com/ For self-hosted/platform-agnostic, OpenWebUI is great: https://openwebui.com/

Very curious for what use cases you're finding gemini unusable.

Scientific research and proof-reading. Gemini is the laziest LLM I've used. Frequently he will lie that he searched for something and just make stuff up, basically never happens to me when I'm using gpt5.2.

Do you use it directly? I've only used it though Kagi Assistant but it works better than any other model for me

Yes, only directly (I mean through the default gemini interface, not API).

Maybe they messed something up in the official interface then. I've heard that the PDF processing capabilities are also significantly worse in Gemini UI compared to using it through the API or Google AI Studio.

The way I summed it up to a friend recently is that Gemini 3 is smarter but Grok 4 works harder. Very loose approximation, but roughly maps to my experience. Both are extremely useful (as is GPT-5.2), but I use them on different tasks and sometimes need to manage them a bit differently.

In my experience with Gemini, I find it incapable of not hallucinating.

Any coding task produces some trash, while I can prototype with ChatGPT quite a lot, sometimes delivering the entire app almost entirely vibe-coded. Gemini, it takes a few prompts for it to get me mad and just close the tab. I use only the free web versions, never agentic ‘mess with my files’ thing. Claude, is even better than that, but I keep it for serious tasks only, so good it is.

Gemini loves to ignore Gemini.md instructions from the first minutes, to replace half of the python script with "# other code...", or to try to delete files OUTSIDE of the project directory, then apologise profusely, and try it again.

Utterly unreliable. I get better results, faster, editing parts of the code with Claude in a web ui, lol.

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