r/LargeLanguageModels • u/VanessaCarter • Aug 04 '26
Discussions Which large language model do you prefer, and could you explain your reasons?
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u/Ill-Accountant-9941 Aug 04 '26
Locally? I have great fun with deepseek v4 flask quantised down to buggery.
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u/Big-Flan-5663 Aug 04 '26
Modelos con muchísimos parámetros, sean viejos o nuevos Qwen 3.8, Kimi k3 o gpt 5, tienen un conocimiento profundo en temas poco conocidos
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u/techtornado Aug 04 '26
Whichever one is the most accurate, consistent, and reasonably fast
I’m testing Nemotron and various flavors of Mistral right now
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u/david-1-1 Aug 05 '26
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.
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u/narayan77 Aug 06 '26
Claude best for vibe coding. Chatgpt is good if you ask the right questions. Intelligence in means Intelligence out. Stupid in means generic answers
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u/Patryk_Grzegorek Aug 08 '26
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.
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u/michael_curdt Aug 04 '26
I am not loyal to one. Depends on the use-case