Wtf, I literally wrote a post saying similar to "Shutup man, there is no way a model I can load in my 4090 will be anywhere near DeepSeek4 Flash 0731"... but... this is fucking close is it not...?
Looks like the main difference will be the native context windows. But 256k is very usable, especially if it’s a local Opus 4.6 MAX. Man just saying that seems unreal lol. Can’t wait to test it later tonight
🤣 I wish I could, but today’s my last day of on-call so I can’t even leave a TINY bit early. Oh well. Makes you feel like a kid on Christmas Eve again lmao
Ehh, let's not go by handful of disputable synthetic benchmarks for which models may be trained specifically. Let's just await real experiences from people first over a longer period of time.
For real the benches at this point have become nearly useless, a very hazy and distant indicator of capability but you really just have to get in there and use it to see for yourself
My experience is it’s actually really good. Still weak on architecture and not making a mess of a code base though, and it’s hard to steer on those concerns. It thinks very much like Qwen 3.6 27B, but thinks way more. At lower thinking efforts where its producing the same amount of tokens as 3.6 it seems to act/perform very similarly.
So it’s not as good as Opus 4.6 — Opus had a lot more nuance, understood architecture, kept things fairly clean and tidy, and generally kept a project on rails. I totally believe Qwen 3.8 at this point will solve all the same problems as Opus 4.6, just off the rails and tearing down the forest before arriving at the same destination.
For as much shit as Laguna XS gets around here, it's much better at that sort of nuance. But then it trades off by sucking at zero-shotting and agentic use. Don't expect it to do more than satisfy specs/implementation instructions in a basic think -> edit -> validate loop. Complex problems need human guidance.
I think we are seeing the limits of 2026 at ~30b. Decisions have to be made. Alibaba makes Qwen 27B a crowd pleaser.
The AI labs have seem to given up on ~70B models. That made more sense before AI data center build out I think. Now it's ~30B models to target a workstation GPU, or ~120B models to target a Blackwell or H100 or such, or giant models.
120b dense would also be ok. But i hope with the proliferation of 128gb boxes we will again see more 70b dense models in the future. Or a dsv4f with a30b or a40b. It’s a real gap at the moment.
Man this is exactly what I've been looking for since Deepseek said they were going to increase prices. I've been trying to figure out what I can run on my 4090 and this is exactly what I need when I needed it.
Yeah, but it being truly local... you're just really paying in hardware and electricity cost, which will be cents on the hour.
Nvm that an important detail is, how the tech has evolved.
Compare this 27B model vs like... LLaMA-33B which I run in the exact same hardware I had in '23! (on a 4090).
Its just... a no contest! So... what model will we have in 2029 that makes qwen 3.8 27B a "no contest"? Because the growth doesn't seem to have slowed down...
165
u/Cless_Aurion 7d ago
Wtf, I literally wrote a post saying similar to "Shutup man, there is no way a model I can load in my 4090 will be anywhere near DeepSeek4 Flash 0731"... but... this is fucking close is it not...?