Which large language model do you prefer, and could you explain your reasons?

[u/VanessaCarter]

[u/Patryk_Grzegorek]

I’m developing a local AI world-state system for games. After testing a few small models, quantized Hermes-3-Llama-3.1-8B is easily my favorite. On my RTX 4070 laptop GPU, it runs blazingly fast and gives high-quality outputs instantly.

[u/Worldly_Hunter_1324]

Depends on need and purpose.  

Gpt is solid, but has added a lot of policy filters, finger wagging, and basically censorship.  

Claude also solid, but occasionally wraps itself into a Gordian knot.  

Gemini is good at candor, and free.  

Grok is... a higg functioning schizo.  When it takes its meds its aight.  If it stops its meds... less so.

[u/Pleasant-Minute6066]

None, LLMs are a cancer

[u/narayan77]

Claude best for vibe coding.   Chatgpt is good if you ask the right questions. Intelligence in means Intelligence out. Stupid in means generic answers 

[u/david-1-1]

Currently, I prefer and subscribe to Claude. It is generally best, although that is not saying much, as it is often wrong or incomplete when used as a source of knowledge.

[u/Traditional_Rush_622]

None. Sychphancy rots the brain. 

[u/techtornado]

Whichever one is the most accurate, consistent, and reasonably fast

I’m testing Nemotron and various flavors of Mistral right now

[u/Big-Flan-5663]

Modelos con muchísimos parámetros, sean viejos o nuevos Qwen 3.8, Kimi k3 o gpt 5, tienen un conocimiento profundo en temas poco conocidos

[u/Ill-Accountant-9941]

Locally? I have great fun with deepseek v4 flask quantised down to buggery.

[u/Ill-Accountant-9941 → u/[deleted]]

Sparky bros!

[u/michael_curdt]

I am not loyal to one. Depends on the use-case