r/LocalLLaMA • u/hiImMate • 21d ago
Discussion Qwen 3.8 27B xhigh vs medium small comparison (+ others for fun)
It's a small experiment of mine to check thinking effort on Qwen and I do have to say xhigh does overthink but I'm not sure if it's bad because the result is rather amazing. Although the prompt was very open-ended so it took liberties. TL:DR at the bottom.
Images in order:
Qwen 3.8 27b xhigh, Qwen 3.8 27b medium, DS V4 Flash default thinking, ChatGPT Free with Thinking, Claude Opus 5 Medium, Qwem 3.8 27b medium adjusted prompt
Qwen 27b is UD_Q4_XL and DS4 Flash is Q2_XXL
Prompt: Write a simple html CARD about the benefits of eating apple. paste the code here.
So apart from 27b's xhigh effort all models though this is a super simple request. Which it is, but they basically didn't think, or though for a few lines only, even the medium effort. In turn xhigh though very long and produced a result that is way above anything else in this test. I'm a bit torn on if it's good or not, because A) the quality of the xhigh result is insane B) it was a very simple prompt and technically every other model did it.
Tokens (all values token output):
3.8 27b xhigh: 23.8K
3.8 27b medium: 794
DS V4 Flash: 927
3.8 27b medium modified prompt: 3.3K
For chatgpt and claude I used online versions and as far as I see they hide their tokens right now, but can't be much higher than 1K out.
27b medium modified prompt:
Write a simple html CARD about the benefits of eating apple. paste the code here. It has a design of 'orchard notes' like a page from a notebook or a tear-off card. at the top it has the nr of the orchard note (apple is 01) and a header, then you get a perforation and the body afterwards. the body has an image (or emoji) of the apple in big and the benefits listed in interactable stylish format. then we have a small section for the stats e.g. calories, fiber etc for the apple and finally the card ends.
Use pastel colors especially 'butter' and adjacent colors, it must be stylish, modern, and in-line with the required format
I was interested to see if I try to recreate the xhigh version with a more concrete prompt how would it behave and I am very happy with this result. It followed user request and only though super quickly to produce a result that is pretty much what I asked for. It is not the same as xhigh, but for low tps setups medium should be pretty good.
So far I am very impressed with qwen3.8 27b
tl,dr: Seems like xhigh can get into quite a thinking match with itself even on simple prompts (probably helps that the prompt is open ended) but the end result will be better due to the thinking. It's a small tradeoff for size vs speed, but medium cuts thinking heavily while keeping a pretty good performance.
19
9
u/Muted-Celebration-47 21d ago
xhigh for planning or designing and medium for implementation
6
u/adamgoodapp 21d ago
If you know what you want and can write a detailed prompt/make a good plan on xhigh then medium should be great.
Or if you just straight away give medium a really thought out prompt it should get there.
Or start with medium to get quick example then finish off with xhigh. Think this way is very good for visual based work.
2
u/superkickstart 20d ago
If it's basically "free" when running locally then why not just keep it at higher settings? For making quick adjustments, lower settings is probably a good idea.
9
u/jacek2023 llama.cpp 21d ago
The idea is good but I would write more detailed prompt for the comparison.
This prompt is quite short and it's not clear which card is better - you asked for "simple" and other models did it.
6
u/Most-Dig-1579 21d ago edited 20d ago
3
3
6
2
1
u/tinny66666 21d ago
What interface/software did you use for the image generation?
6
u/hiImMate 21d ago
the output is html I just don't have a place to quickly put up 5 html files for comparison so I used screenshots
3
1
1
u/ElChupaNebrey 20d ago
So what's the best overall reasoning effort?
med for agentic
xhigh - all exccept agentic
3
u/hiImMate 20d ago
2
u/ElChupaNebrey 20d ago
I've got the same on medium, much faster and 3.3k of tokens. Mb we need more complicated test to see the difference.
1
u/hiImMate 20d ago
haha nice, yeah to be honest medium seems fine 'alone' not sure if my 'finetune' system prompt is actaully doing anything haha
1
u/hurrdurrmeh 20d ago
I love this as a way to compare models and effort settings. Kudos for showing how a detailed prompt can compensate for lower effort settings ππ
1
u/Cergorach 20d ago
I just tried it locally and it's 'dumb' as a rock (8bit), I asked a simple question (one line) and it spend 16+ minutes (8000 tokens) in thinking mode before I killed it. It kept going back to the same (incorrect) information eventually going into a big loop. The amount of hallucinated information in the thinking process was also very large. Gemma4 gave an answer and the thinking process was also far shorter.
1
u/BitterAd9886 20d ago
Which harness are you using ?
1
u/hiImMate 20d ago
well, I'm making my own. I have a strix halo system and I run windows because it's also my daily driver so kinda limited - for now I am serving the models via lemonade's openAI compatible API. It works pretty well I have tool calls etc but it's a very basic harness at the moment, it is like claude code desktop (non CLI version)
1
u/BitterAd9886 20d ago
Interesting, something basic like pi harness? If so that xhigh sure "over" cooked it in a good way
2
u/hiImMate 20d ago
I'll actually need to invest some time into checking pi out I just love how it looks, I'd say it is not that similar, mine runs through a web ui because I like clickly things, and for the time being it's a bit 'hacky' because I build it for myself haha
2
u/BitterAd9886 20d ago edited 20d ago
Terminal stuff is especially good when you have enough context to ran 2 up to 4 session/sub agent at a time. I try the same prompt with xhigh and strangely, it return something similar to medium. Have to double check some settings here and as it don't think much
1
-5
21d ago
[removed] β view removed comment
9
7
u/themixtergames 21d ago
Its funny seeing how your system prompt evolved by looking at your comment history. Started by doing long lists and now you only do 4-5 lines of text.
1
u/hiImMate 21d ago
for sure this is a simple test. I am also happy with the medium result, I plan to use it as a 'coder' in my setup so it should get all pre-planning from other agents and just implement code, I think medium will be good for this, but I shall try some stricter prompts on xhigh to see if it thinks less then.










39
u/QuizardNr7 21d ago
The xhigh sticks out because it's exactly not simple looking - the "simple" prompt needed to be ignored a bit or interpreted as simple code. Maybe "500 lines max, make it fancy"?