# Kimi K3 本地运行击败 GPT 5.6 等云端模型

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-07-28 05:54
- AIHOT 分数：36
- AIHOT 链接：https://aihot.virxact.com/items/cms3rodix01l4ro82jv4dh1wq
- 原文链接：https://x.com/rohanpaul_ai/status/2081860853666869295

## AI 摘要

本地部署的 Kimi K3（8×B300）在 3D 物理碰撞模拟测试中，生成的 HTML 场景效果优于 GPT 5.6、Grok 4.5 和 GLM 5.2。测试要求模型独立创建包含几何、质量、碰撞和持续损伤的完整场景，Kimi K3 在全部三个场景中胜出，且本地运行成本为零。

## 正文

Locally hosted Kimi K3 （8X B300s） produced the most convincing physics across three browser-based crash scenes. Better than GPT 5.6

Test was done on atomic【.】chat， a desktop app that runs LLMs locally.

Each model had to generate a self-contained HTML simulation， so the test mixed coding， 3D scene design， and physics-engine configuration.

Prompts：
- A monster truck crushing a row of cars
- Two cars jumping a canyon and colliding head-on mid-air
- A giant anvil drop test flattening cars one by one

Outputs：
- Kimi K3 （local）： 32.7K tokens， $0
- GPT 5.6： 19.2K tokens， $0.30
- Grok 4.5： 55.2K tokens， $0.45
- GLM 5.2： 66.8K tokens， $0.15

These are quite tough experiments， the model has to create the geometry， assign masses and constraints， sequence the impacts， update object state， manage the camera， and keep the whole scene running inside one self-contained file.

Kimi K3 handled that loop best， particularly when damage needed to persist after impact.

### 引用推文

> atomic.chat：Open weight Kimi K3 crushed cloud frontier GPT 5.6 at 3D destruction physics! Moonshot AI became the first lab to open-source frontier model weights. We tested ...