New benchmark just dropped!

Reddit r/LocalLLaMA News

Summary

A new benchmark compares the performance of Qwen3.8-27b, Sol 5.6, and Qwen3.6-35B models on generating an SVG of a horse on a bicycle in the desert with a camel background, using a typo-included prompt.

The pelican on a bicycle is sooo outdated, so I came up with a new, improved version. Qwen3.8-27b medium (UD-Q4_K_XL) vs. Sol 5.6 high vs. Qwen3.6-35B (UD-Q6_K_XL) Prompt (only real with typo!): "Create a svg of a horse on a blue bycicle in the desert, with a camel in the background."
Original Article

Similar Articles

Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7

Simon Willison's Blog

Simon Willison compares Qwen3.6-35B-A3B running locally on a MacBook Pro against Claude Opus 4.7, finding that Qwen produces better SVG illustrations of pelicans riding bicycles and flamingos on unicycles, though he notes this narrow benchmark doesn't reflect broader model capabilities.

Horsey challenge | Strata Fork | Qwen 3.8 FN NVFP4

Reddit r/LocalLLaMA

用户在 RTX 5090 单卡上使用 strata-nvfp4 引擎(Strata 的 NVFP4 分支)运行 Qwen3.8-Flash-Next 125B-A6B 混合 MoE 模型,分享了「小马挑战」(生成 Three.js 低多边形奔跑小马的 HTML)的性能数据:87 步、12.4 万输出 token、平均 103 t/s 解码速度、99% 缓存命中率。