# The BEST Vibe Coding AI Model For Developing Source: https://www.youtube.com/watch?v=fkYzt8ekWAY Recap page: https://rapidrecap.app/video/fkYzt8ekWAY Generated: 2025-11-11T04:39:50.576+00:00 --- ## Quick Overview GPT-5 Codex High is the best model for complex coding tasks like building a full-stack application backend, while GPT-5 Codex is better for mid-level complexity coding, and Auto mode is recommended for most daily use due to its balance of quality and speed. **Key Points:** - GPT-5 Codex High is recommended for extremely complex tasks, such as building a full-stack backend, due to its high reasoning effort. - GPT-5 Codex is suitable for mid-level complexity tasks or when a 272k context window is needed, offering medium reasoning effort. - For general daily coding, the speaker suggests using Auto mode (which balances quality and speed) or Claude Sonnet 4.5 for Anthropic's latest model capabilities. - The speaker advises against using GPT-5 Codex High for simple tasks, like changing a color on a landing page, as it is overkill and slower than necessary. - The video demonstrates how to select these models within the Cursor AI settings menu (00:43) and highlights the importance of matching the model's reasoning level to the task's complexity (01:53). - The concept of 'Data Paths' is crucial, where user-specific information (like login details) is associated with their UID for personalized front-end reflection (05:24). ![Screenshot at 00:30: The model selection dropdown menu in Cursor AI, showing GPT-5 Codex High currently selected and highlighting the descriptions for GPT-5 Codex \(272k context window, medium reasoning effort\) and GPT-5 Codex High \(high reasoning effort\).](https://ss.rapidrecap.app/screens/fkYzt8ekWAY/00-00-30.png) **Context:** The video serves as a guide for developers, specifically users of the Cursor AI code editor, comparing and contrasting different available Large Language Models (LLMs) like GPT-5 Codex High, GPT-5 Codex, Claude Sonnet 4.5, and Composer 1. The speaker aims to provide guidance on which model to select based on the complexity and nature of the coding task at hand, using examples related to web development and platform architecture. ## Detailed Analysis The presenter analyzes which AI model to use within the Cursor AI environment for different coding scenarios, emphasizing that complexity dictates model choice. For the most demanding tasks, such as architecting a complete backend system that requires complex, long-term planning (which might take 30-40 minutes to produce a value), GPT-5 Codex High is the superior choice due to its high reasoning effort (00:36, 01:53). For tasks of moderate complexity, like editing a landing page's UI elements or handling data paths associated with user IDs, GPT-5 Codex is recommended for its 272k context window and medium reasoning effort (03:39, 05:24). For general, day-to-day coding that needs balanced speed and quality, Auto mode is suggested (01:32), or Claude Sonnet 4.5, described as Anthropic's latest model good for daily use (03:31). The speaker also shows how to navigate the model settings panel (00:44) and stresses that using the highest-tier model for simple tasks is inefficient and overkill (06:34). He also briefly touches upon the importance of understanding the data path architecture when creating user-specific features (05:24). ### Model Selection Guide - GPT-5 Codex High for high complexity/planning - GPT-5 Codex for mid-level tasks/large context - Auto mode for balanced daily use - Claude Sonnet 4.5 for general daily tasks ### Task Complexity vs. Model Power - Using GPT-5 Codex High for complex architecture is optimal, while using it for simple CSS changes is overkill (06:34) ### Model Features Highlighted - GPT-5 Codex offers a 272k context window and medium reasoning effort (00:41) - Claude Sonnet 4.5 is noted as Anthropic's latest model (03:31) ### Development Workflow - The agent should be set to Agent mode (not Editor mode) when instructing the AI to perform complex, multi-step planning (06:32) ### Architectural Concepts - The importance of understanding 'Data Paths' where user-specific information is tied to a unique ID (UID) for personalized front-end reflection is mentioned (05:24) ![Screenshot at 00:00: Demonstration of the Cursor AI interface with the model selection dropdown open, showing GPT-5 Codex High currently active.](https://ss.rapidrecap.app/screens/fkYzt8ekWAY/00-00-00.png) ![Screenshot at 00:44: Navigation to the 'Models' tab within Cursor's settings menu to manage and view available AI models.](https://ss.rapidrecap.app/screens/fkYzt8ekWAY/00-00-44.png) ![Screenshot at 01:18: Visual example of a simple task: changing the color of the highlighted text 'scroll-stopping' on the Thumio landing page.](https://ss.rapidrecap.app/screens/fkYzt8ekWAY/00-01-18.png) ![Screenshot at 03:05: A whiteboard diagram illustrating the architecture of 'vibecode -\> thumio.com' with components like App UI, Sign Up, Database, and Functions.](https://ss.rapidrecap.app/screens/fkYzt8ekWAY/00-03-05.png) ![Screenshot at 04:31: The Thumio AI thumbnail editor interface showing an image of the presenter holding a large burger and the edit history panel.](https://ss.rapidrecap.app/screens/fkYzt8ekWAY/00-04-31.png) ![Screenshot at 05:08: Switching the view to the settings panel, showing the 'Account' section with 'Number credentials' and login information.](https://ss.rapidrecap.app/screens/fkYzt8ekWAY/00-05-08.png) ![Screenshot at 06:35: The presenter evaluating GPT-5 Codex High as overkill for simple tasks, confirming it is effective but perhaps too powerful for minor changes.](https://ss.rapidrecap.app/screens/fkYzt8ekWAY/00-06-35.png) ![Screenshot at 06:55: The presenter pointing upward, emphasizing the rapid improvement of AI models and predicting that by 2026, coding capabilities will be universal.](https://ss.rapidrecap.app/screens/fkYzt8ekWAY/00-06-55.png)