Chubby♨️@kimmonismus · X在@atomic_chat_hq平台的本地LLM游戏开发竞赛中，Gemma 4 31B与Qwen 3.6 27B于MacBook Pro M5 Max上对决。尽管Qwen生成速度更快（32 tokens/秒）且回答更具创意，但Gemma仅用3分51秒和6209个token，输出了更简短、清晰、逻辑性强的答案。在具体的吃豆人游戏逻辑实现上，Gemma在点击反应、与墙壁/幽灵的交互及粒子效果处理方面表现更优。作者强调此为单次测试，Qwen或可通过调整设置提升表现，并邀请社区验证。
/1 Gemma 4 31B just crushed Qwen 3.6 27B in a local LLM gamedev contest inside @atomic_chat_hq （prompt is below）
Device： MacBook Pro M5 Max， 64GB RAM
Results： Qwen 3.6 27B： 32 tokens/sec · 18m 04s · 33，946 tokens Gemma 4 31B： 27 tokens/sec · 3m 51s · 6，209 tokens
So what is more important： tokens per second， or the quality of the final answer？
Qwen made a very long response and showed more creativity and visual style. But Gemma gave a shorter， clearer， and more logical answer in much less time. In this one-shot Pac-Man gamedev contest， Gemma 4 31B was the clear winner. Its game logic was stronger： click reactions were smoother， and it handled interactions with elements like walls， ghosts， and particle effects better.