# Kimi K3 领先 DeepSeek-V4-Pro 67 分但贵 13.8 倍

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-08-13 18:14
- AIHOT 分数：43
- AIHOT 链接：https://aihot.virxact.com/items/cmsrdb9ef0v13roz2h2t5o8ur
- 原文链接：https://x.com/rohanpaul_ai/status/2087845114513072627

## AI 摘要

Kimi K3 (Max) 在 Code Arena: WebDev 中以 1674 分领先 DeepSeek-V4-Pro (Max) 的 1607 分，但后者输入/输出价格分别便宜约 6.9 倍和 17.2 倍。

## 正文

Kimi K3 (Max) leads DeepSeek-V4-Pro (Max) by 67 Arena points, but DeepSeek is roughly 6.9x cheaper on input and 17.2x cheaper on output.

Kimi $3 / $15 per MTok vs DeepSeek's $0.435/$0.87

For a simple 1M-input + 1M-output workload, that is $18 on Kimi versus $1.305 on DeepSeek, about 13.8x cheaper.

The 67-point difference is also an early AutoEval gap, not a linear percentage difference in coding quality, so Kimi earns that enormous premium only if it produces materially fewer failed edits, retries, or human reviews in your own environment.

### 引用推文

> Arena.ai：Big news: DeepSeek-V4-Pro (Max) by @deepseek_ai is coming in around ~#8 overall (#2 among open models) in the Code Arena: WebDev! At 1607 pts, this places it af...