That’s… not how any of this works. Five paragraphs and literally every one is wrong.
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replythis is insanely misleading, you can't run anything close to current chatgpt or gemini on local hardware
replyI am running GLM 5.3 across 2x DGX Sparks and was doing comparisons and it absolutely can beat Gemini. Yesterday it corrected a poor Fable 5 response even
replyI should have clarified, you can’t run it on their local hardware, which is a 16gb gpu. Glm-5.3 and k3 are of course near the frontier.
replyGLM 5.3 Flash? Qwen 3.8 Flash Next? I believe those both are as good as the best Gemini, competitive with Terra.
replyYes they are quite good, but are not able to run on a 16GB RX 9070.
replyQuantized Qwen 3.8 Flash Next could maybe run eventually on that card with a highly optimized inference engine that dynamically caches the hottest layer experts. Even then you run into some hard limits.
You are insanely non-technical then. Yes you can. Skill issue
replyYou probably pay $200/mo for text-to-text!
> You have good enough hardware to run good models comparable with Gemini and ChatGPT.
replyThat is at best misleading and at worst outright misinformation.
If you have 2TB of VRAM you can’t run one of the big models which are comparable?
replyThe post was replying to someone with 16GB. (And also: no, even the best open weight models are not as good as what you can use on your ChatGPT subscription. They’ve gotten a lot better, but not that much better.)
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replyHow many of these sockpuppets are you going to create?
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