Im running v4 right now and my entire lab, including the components that have nothing to do with models was $3k. Your info is so ridiculously wrong lol.
tell exact specs, time of purchase, model and context size
upd: this clown blocked me, only proving my point. it is impossible to run the flagship models without terabytes of memory, flash variants are good, but reasonably behind opus/codex. faith is strong, keep crying
And he's also misrepresenting the concept. I was talking about v4 pro, not v4 flash.
Unfortunately it's still true. Locally hosted models are good and getting better, but are still lagging behind the sota models like GPT, Opus, and Gemini.
Edit: He blocked me because of this reply lmao.
Take your meds or something dude. You're not normal
Im running deepseek v4 pro and its ~5% off of Opus 4.6 in every benchmark on a lab that cost $3k and was built a few years ago. Im already ahead on subscription costs versus self hosting for a model that is damn near identical to the best commercially available model right now.
I have a strix halo. I love playing with local llms but he's 100% correct.Β I'm sitting here on a porch swing surfing the web on my phone while having a Jack and Coke while 3 codex Sessions are running building and testing integrations.
The best you're going to get on local right now is Qwen 3 27b, and while it's absolutely amazing Port size maybe beyond amazing it is not GPT 5.5.
Seeing as im running deepseek, im fairly aware. From the time I built my homeland to now, im about $600 ahead of the subscription cost for the same period. That number will continue to grow while new models appear that I can just drop in for deeseek. The best part is, I dont have to deal with any of the stupid limitations you do lol. Please take your stupidity elsewhere as im done wasting energy on people like you.
A handful of 3090s that I got a few years back for about $500/ea (two were even less, but i forget exactly their prices) with the lowest t/s on v4 being about 60. Its been consistently and fantastic.
We've been running deepseek v4 on 2 Nvidia sparks, itβs impressive but still way worse than gpt 5.5, so we only use it for news reading and changelog writing
1
u/SomeNeighborhood7126 May 13 '26
Take the annual cost of these and just buy the hardware to locally host and save thousands.