Model Releases
Qwen3.8 27B reasoning effort low/medium/xhigh comparison
I did a short test of the different reasoning efforts, since on default xhigh the model thinks a lot. Not very scientific, just a quick 'generate an SVG of a pelican on a bicycle' prompt with 3 differ
I did a short test of the different reasoning efforts, since on default xhigh the model thinks a lot. Not very scientific, just a quick "generate an SVG of a pelican on a bicycle" prompt with 3 different seeds. I think the result is interesting none the less: xhigh gives much higher visual fidelity - but it also takes about 7x as long as low. Low and medium seem to be very close to each other. https://preview.redd.it/fkbx5qf41qjh1.png?width=1560&format=png&auto=webp&s=bfc1e9679802605c61af203ca27422ed763b6a19 Hardware and setup GPU: NVIDIA RTX 5080 Laptop GPU, 16 GB VRAM Model: unsloth/Qwen3.8-27B-UD-IQ3_XXS llama.cpp: build 10451, commit 10bf611e5 Context: 65,536 KV cache: Q8_0 Flash Attention: enabled MTP speculative decoding: --spec-default --spec-type draft-mtp --fit off One concurrent slot Prompt: Create a polished SVG graphic of a pelican riding a bicycle. The result must clearly show a recognizable pelican actively riding a recognizable two-wheeled bicycle. Return only one complete, self-contained SVG document with a viewBox; no Markdown fences, prose, external images, JavaScript, or animation. Average results Reasoning effort Reasoning tokens SVG tokens Total completion Wall time Generation speed MTP acceptance Visual score (Codex rated) Low 4,418 3,966 8,387 111.6 s 75.4 t/s 62.1% 21.8/25 Medium 5,918 3,038 8,959 127.4 s 70.5 t/s 58.3% 22.5/25 X-High 39,398 5,085 44,487 717.8 s 62.0 t/s 52.7% 24.0/25 submitted by /u/Danmoreng [link] [comments]
Related
- Fixed Jinja chat template for Qwen 3.5, 3.6, and the new 3.8 release
- The difference between 'medium' and 'xhigh' reasoning effort for Qwen3.8-27B is actually insane.
- Quick PSA: Qwen3.8-27B reasoning effort vs reasoning budget in llama.cpp
Source: r/LocalLLaMA | 2026-08-16