Qwen3.6 wins informal kebab test

// 45d agoBENCHMARK RESULT

Qwen3.6 wins informal kebab test

A LocalLLaMA Reddit gallery compares Gemma 4, Qwen3.5, and Qwen3.6 on a visual “kebab test,” using image-to-SVG style outputs as a rough real-world multimodal sanity check. The posted examples show Qwen3.6 producing more coherent kebab illustrations, while Gemma 4 outputs lean more toward raw SVG/code or weaker scene reconstruction.

// ANALYSIS

Tiny community evals like this are not science, but they are useful smoke tests because they expose failure modes that leaderboard tables often hide.

–Qwen3.6-27B and Qwen3.6-35B-A3B appear stronger at turning the visual prompt into a recognizable kebab scene
–Gemma 4’s outputs suggest the model may understand structure but struggle to convert that into polished visual composition in this setup
–The result fits broader chatter that Qwen3.6 is especially competitive on agentic and multimodal workflows, even when smaller than dense rivals
–Treat this as qualitative signal, not a benchmark: one prompt, unknown settings, and a very small sample

// TAGS

gemma-4qwen-3-6qwen-3-5llmmultimodalbenchmarkopen-weights

DISCOVERED

45d ago

2026-04-23

PUBLISHED

45d ago

2026-04-22

RELEVANCE

6/ 10

AUTHOR

GeneralEnverPasa

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