Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

Story

Android Bench adds Kimi K3.1 Pro and DeepSeek V4.1 Flash results

AI summary

Google’s Android Developers account published Android Bench results for GPT-6.1 Terra, Kimi K3.1 Pro and DeepSeek V4.1 Flash, according to IT之家. With kimi-code, Kimi K3.1 Pro recorded a 24.0% pass rate and 82.3% average completion across 30 long-horizon tasks, taking 27.4 hours and costing US$317.4 per run. DeepSeek V4.1 Flash, evaluated with opencode, recorded a 17.3% pass rate and 71.2% average completion, with a 12.0-hour average completion time and US$9.9 run cost.

In-depth insight

The results provide Android development teams with a shared comparison of coding-model performance, completion time and benchmark cost on long-horizon engineering tasks.

谷歌更新安卓 AI 开发基准榜单:Kimi K3.1 Pro / DeepSeek V4.1 Flash 成绩揭晓 - IT之家

首页

IT圈

最会买

设置

  • 日夜间 随系统 浅色 深色
  • 主题色 黑色

#Android Bench#Google#OpenAI#GPT-6.1 Terra#Kimi K3.1 Pro#DeepSeek V4.1 Flash#kimi-code#opencode

Original · 2 min readRead the original
Group chat

No comments yet. Start the conversation.