@rohanpaul_ai: More good news for local LLMs. Tencent’s new Hunyuan Hy3 reaches Gemini 3.5-level physics quality for 35x less cost. Te…

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Summary

Tencent's new Hunyuan Hy3 model achieves Gemini 3.5-level physics quality at 35x lower cost, based on a test comparing simulations in atomic.chat.

More good news for local LLMs. Tencent’s new Hunyuan Hy3 reaches Gemini 3.5-level physics quality for 35x less cost. Test was done on atomic[.]chat, a desktop app that runs LLMs locally. The prompt asked 4 models to build bowling, air hockey, and pool simulations. The harder part was preserving physical cause and effect. A strike needs collision timing, mass transfer, pin rotation, friction, and believable scattering. A pool break exposes the same weakness, because every wrong angle compounds immediately. Interestingly, DeepSeek-V4 spent the highest number of tokens (50,600 ), yet produced the weakest visual physics in this test.
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Cached at: 07/06/26, 08:19 PM

More good news for local LLMs.

Tencent’s new Hunyuan Hy3 reaches Gemini 3.5-level physics quality for 35x less cost.

Test was done on atomic[.]chat, a desktop app that runs LLMs locally.

The prompt asked 4 models to build bowling, air hockey, and pool simulations. The harder part was preserving physical cause and effect.

A strike needs collision timing, mass transfer, pin rotation, friction, and believable scattering.

A pool break exposes the same weakness, because every wrong angle compounds immediately.

Interestingly, DeepSeek-V4 spent the highest number of tokens (50,600 ), yet produced the weakest visual physics in this test.

atomic.chat (@atomic_chat_hq): New Hunyuan Hy3 hits Gemini 3.5 quality on physics for 35x cheaper!

We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos

Prompts:

  • A bowling ball knocking down the pins
  • An air hockey rally that ends in a goal
  • A pool

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