A Reddit user conducted a second round of the "Döner Bench" to compare how different quantization levels affect the code generation capabilities of Qwen 3.6 and Gemma 4 models.
- The test involved generating an HTML file with a canvas animation of a rotating kebab skewer using identical prompts for each model variant.
- Results were collected by running each model and quantization combination nine times, selecting the best subjective outcome while discarding loops or timeouts.
- Qwen 3.6 27B IQ2 M produced some of the best results despite lower fidelity, while Gemma 4 31B showed stability even at low IQ2 quantization.
- Higher bitrates like Q8 K XL generally preserved more "finesse" in the animation, whereas lower bits like IQ2 caused visual artifacts or instability.
The comparison highlights how quantization impacts the quality of generated code and rendering for local LLMs.