@atomic_chat_hq: New @Zai_org GLM-5.2 beats Kimi K2.7 Code on physics contest! We gave both models the same three prompts and asked them…

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Summary

Z.ai releases GLM-5.2, an open-weights AI model with improved coding and agentic performance, demonstrated by beating Kimi K2.7 Code on a physics simulation benchmark across three tasks.

New @Zai_org GLM-5.2 beats Kimi K2.7 Code on physics contest! We gave both models the same three prompts and asked them to build self contained HTML5 sims with real physics and no libraries: 1. Pool break 2. Block on a bed of springs 3. Galton board Outputs: GLM-5.2: 12,640 tokens Kimi K2.7 Code: 7,420 tokens GLM 5.2 nailed all three, and it did it with way more detail and polish. The break conserved momentum, the block bounced off the springs and the Galton beads spread into a clean bell curve. Kimi struggled on every scene: its block fell straight through the springs, its break didn't look realistic with the balls colliding all wrong, and on the Galton board its balls overlapped and piled into each other instead of spreading out
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Cached at: 06/17/26, 05:46 AM

New @Zai_org GLM-5.2 beats Kimi K2.7 Code on physics contest!

We gave both models the same three prompts and asked them to build self contained HTML5 sims with real physics and no libraries:

  1. Pool break
  2. Block on a bed of springs
  3. Galton board

Outputs: GLM-5.2: 12,640 tokens Kimi K2.7 Code: 7,420 tokens

GLM 5.2 nailed all three, and it did it with way more detail and polish. The break conserved momentum, the block bounced off the springs and the Galton beads spread into a clean bell curve. Kimi struggled on every scene: its block fell straight through the springs, its break didn’t look realistic with the balls colliding all wrong, and on the Galton board its balls overlapped and piled into each other instead of spreading out

Z.ai (@Zai_org): Introducing GLM-5.2: Frontier Intelligence, Open Weights

  • Significant improvements in coding and agentic tasks
  • Strong long-horizon capabilities with a 1M context window
  • Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong

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