Ask HN: What Online LLM / Chat do you use? I have been wanting to try more LLMs than the standard Anthropic/Grok/ChatGPT/Qwen Are there other LLM chat sites you use or recommend? |
Ask HN: What Online LLM / Chat do you use? I have been wanting to try more LLMs than the standard Anthropic/Grok/ChatGPT/Qwen Are there other LLM chat sites you use or recommend? |
Working on my first AI app for medical advice and I've been using it myself extensively to the point of addiction, it's magical
I don't have a full CLI agent, I just installed deepseek as a plugin in my Sublime Editor, some python code that takes the selected text or file and can do things to it on command, sometimes I just enter a prompt without selection so it can create code for me.
All in all, enough for me as a lone coder, it doesn't have continuous integration or team edition which I don't care for, and for the price (cents per month) I couldn't ask for more.
Let me know if I can be of any help
I have tried the same approach with Kimi K2.5 and GLM 5 but I keep going back fo Qwen3.
I also have access to Perplexity which is quite decent to be honest, but I prefer to keep everything in Kagi.
1: https://help.kagi.com/kagi/ai/assistant.html#available-llms
It's interesting, as I type that out it makes me wonder why not just go back to the search engine since it has the AI summaries that have been getting better.
Finally, I do also like the longer reasoning when I have a tough question and usually like to copy paste it around to various models and compare their responses.
On the search engine comparison: do you feel LLMs reduce cognitive load because they maintain context, whereas search requires more manual synthesis?
Also curious — do you think the frustration is mostly with the model itself, or with the serving/infrastructure layer (Cloudflare, routing, batching, etc.) around it? Both comments seem to point at that layer in different ways.
In custom instructions I’ll sometimes write something like “tell it like it is.” Interestingly, some models then start with “okay, I’ll tell you like it is…” which makes me wonder whether that’s psychological framing, operational behavior, or both.
Curious why you asked — have you found customization meaningfully changes performance?
Since I primarily used ChatGPT, I picked up a bunch of prompts from people sharing it in order to optimize for better results. I don't know if this is relevant anymore as I think they've fixed quite a bit and now you can customize tone and warmth directly.
My prompts were more on avoiding filler, be more direct etc, no emojis etc.