# 3D编码测试：DeepSeek-V4-Pro 耗token达Muse 48倍

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-08-19 06:09
- AIHOT 分数：36
- AIHOT 链接：https://aihot.virxact.com/items/cmsz84zj1069urodpnhgoebro
- 原文链接：https://x.com/rohanpaul_ai/status/2089837124988350722

## AI 摘要

3D编码测试显示，DeepSeek-V4-Pro-0813 在构建三个体素城市场景时消耗 20,957,568 tokens，是 Muse Spark 1.2（440,279）的 48 倍，总耗时 91 分 25 秒，费用 $4.57。

## 正文

This 3D coding test by @thehypedotnews found DeepSeek-V4-Pro-0813 used 48X more tokens than Muse Spark 1.2.

thats why for agentic coding, the model's ability to reach an answer matters almost as much as the answer itself. A model that keeps reopening files, reconsidering decisions, and resending context can turn a small build into a huge inference loop.

The test used Nous Research's Hermes Agent CLI through OpenRouter, identical prompts, and the same Three.js constraints across three voxel-city scenes.

Prompt caching can suppress billing without fixing the latency and retry burden created by a call-heavy agent loop.

• total cost
#1 muse spark 1.2 - $0.53
#2 gemini 3.7 flash - $0.56
#3 deepseek v4 pro - $4.57

### 引用推文

> thehype.：gemini 3.7 flash vs deepseek v4 pro 0813 vs muse spark 1.2 - on voxel city dioramas three models each built three crossy road-style 3d scenes - a construction s...