连续干7小时“不累”，OpenAI最强编程模型GPT-5-Codex来了

Core Insights - OpenAI has released GPT-5-Codex, an optimized version of GPT-5 specifically for software engineering, enhancing its programming capabilities [1][2] - The model can dynamically adjust its thinking time based on task complexity, allowing it to work independently on large tasks for over 7 hours [1][4] - GPT-5-Codex has shown improved accuracy in benchmark tests compared to GPT-5, with a reported accuracy of 74.5% in software engineering tasks [4][5] Group 1: Model Features and Performance - GPT-5-Codex is designed for complex engineering tasks, including project construction, feature addition, debugging, and code review [4] - The model's accuracy in code refactoring tasks is 51.3%, significantly higher than GPT-5's 33.9% [5] - In code reviews, GPT-5-Codex has a lower error comment rate of 4.4% compared to GPT-5's 13.7%, and a higher rate of high-impact comments at 52.4% [9][10] Group 2: Developer Tools and Integration - GPT-5-Codex is integrated into various developer tools, including Codex CLI and IDE extensions, allowing seamless transitions between local and cloud environments [2][16] - The Codex CLI has been updated to allow developers to share images and track progress on complex tasks, enhancing collaboration [14] - The IDE extension enables developers to use Codex within popular code editors, streamlining the coding process and maintaining context [16][17] Group 3: Competitive Landscape - The AI programming tool market is becoming increasingly competitive, with products like OpenAI Codex, Claude Code, and GitHub Copilot vying for dominance [21] - OpenAI's recent upgrades to Codex demonstrate its commitment to enhancing automation and collaboration in programming tasks, reflecting the intensifying competition in the sector [21]