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▲ rokkamokka 4 days ago

That card will only run a tiny model though, no?

▲Gareth321 4 days ago | parent | next [-]

Exactly. A lot of stupid tokens has applications, but it's not a plug-in replacement for a subscription for most.

▲spwa4 4 days ago | parent [-]

... yet.

In fact I'm running qwen3.8-flash-next with a Playwright-mcp docker and it is far better for scraping than my ChatGPT or Claude subscription, for the simple reason that sites aren't lying to Playwright.

▲patates 4 days ago | parent | next [-]

I don't understand, your subscription models can also use Playwright, you don't even need to setup an mcp, they'll automatically download playwright-cli and get going.

▲literalAardvark 4 days ago | parent | prev [-]

Sites don't lie to Claude operated Playwright either.

Not to invalidate your point, just saying it's a bit of a straw man.

▲spwa4 4 days ago | parent [-]

Sure, but that's not what the subscription uses.

▲consonaut 4 days ago | parent [-]

You can just tell it to use playwright instead of the browser skill. This has nothing do with the subscription but with how tool discovery works.

▲Kevin_Flynn 4 days ago | parent | prev | next [-]

Yes, but even the smaller models, when used within a harness and orchestrator, can be accurate enough for real work, especially when combined or validated by other smaller models.

The 5060 wasn't the fastest/$, it just provided the most VRAM / $ as of yesterday.

Im installing it in a box with a 4070 Ti to run 2 different models simultaneously. Coder + MoE via paperclip or multica.

▲ThunderSizzle 4 days ago | parent [-]

I see it at $770/GPU, or $48/1GB vram

That probably is the cheapest per 1 GB vram right now. However, the R9700 a few months ago was only $1350/32GB or $42/1GB VRAM. And everyone knew it, because the card is now $1800 or so with supply issues.

I think the market discovered the reasonable min is 32GB. That runs Qwen3.8 Q6 with 100k+ context all in vram. 24GB does not.

▲akmarinov 4 days ago | parent | prev [-]

Depending on RAM - it can run a big one veeeeeeeery slowly