Rohan Paul· @rohanpaul_ai · X·· 2026-06-05AI 评分53
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在 atomic.chat 本地桌面应用中，Nemotron 3 Ultra（MoE 架构，总参数 550B，每 token 活跃 55B）与 GPT-5.5 在构建带物理引擎的 HTML5 canvas 任务（旋转水桶、高尔顿板、极端质量块碰撞）上表现几乎相同。Nemotron 3 Ultra 消耗 11.3k tokens、花费 $0.051，GPT-5.5 消耗 11.0k tokens、花费 $0.57，前者成本仅为后者的约 1/10，质量差距远小于价格差距。
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Nemotron 3 Ultra vs GPT-5.5 on atomic[.]chat, a desktop app that runs LLMs locally.
Nemotron 3 Ultra gave almost similar result on a test to build HTML5 canvas with real physics, while being 10X cheaper.
- Nemotron 3 Ultra: 11.3k tokens, $0.051
- GPT 5.5: 11.0k tokens, $0.57
Nemotron 3 Ultra has 550 bn total parameters (55 bn active per token), because it is a Mixture-of-Experts model.
Nemotron 3 Ultra performed GPT 5.5 level 10× cheaper We gave three same prompts to build HTML5 canvas with real physics. At first scene we have water in a spinning drum. Galton board - balls through pegs into bins. And a block collision setup with extreme mass differences. Outputs: Nemotron 3 Ultra: 11.3k tokens, $0.051 GPT 5.5: 11.0k tokens, $0.57 Nemotron stays right on GPT 5.5's heels, but at 10× cheaper. The gap in quality is far smaller than the gap in price.在 X 查看被引用的帖子
来源：Rohan Paul · x.com