The Best Model For AI Coding Is...

Quick Overview

The best model for general coding tasks is Opus 4.6, while GPT-5.3 Codex High excels as a planner and bug killer, and Gemini Pro 3.1 is best reserved for creative frontend code, according to the creator's tier list.

Key Points: Opus 4.6 is designated as the primary "Coder" model for general programming tasks. GPT-5.3 Codex High is recommended specifically for "Planner & Bug Killer" roles in coding. Gemini Pro 3.1 is best suited for generating "Creative frontend code" but struggles with complex logic and looping. The creator advises against using Gemini Pro 3.1 for general code output due to its tendency to go 'barbaric' or loop endlessly. GPT-5.3 Codex High, while excellent for planning, is noted to be significantly slower than other models. The creator introduced a new feature called 'Composites' allowing users to upload a reference thumbnail for reusable element swapping.

Context: The video features a creator, likely Corbin Braun, discussing and demonstrating the comparative performance of various large language models (LLMs) for coding tasks, referencing a recent social media tier list he published. He specifically evaluates Anthropic's Claude Opus 4.6, OpenAI's GPT-5.3 Codex High, and Google's Gemini Pro 3.1 based on their strengths in planning, execution, and user interface design.

Detailed Analysis

The creator outlines his current preferred coding model tier list: Gemini Pro 3.1 for creative frontend code, GPT-5.3 Codex-5.3 for planning and bug killing, and Opus 4.6 as the main coder. He explains that while no single model is a one-size-fits-all solution, the best practice is to use different models for different tasks. He demonstrates switching between models in the interface (Opus 4.6, Gemini 3.1 Pro, GPT-5.3 Codex High) to illustrate their distinct capabilities. Opus 4.6 is praised for its reliable logic and ability to generate good code outputs based on a plan, although it can be slow. Gemini 3.1 Pro produces visually appealing UI code but is prone to issues like infinite loops or going 'barbaric' when handling complex logic. GPT-5.3 Codex High is noted for its superior planning abilities but suffers from being extremely slow, often requiring multiple meetings/days for complex tasks. The creator also showcases a new feature in their software called 'Composites,' which allows users to upload a reference thumbnail and then easily swap out people, text, and other elements to generate new variations, demonstrating this by using a thumbnail from Morgan Housel's book 'The Psychology of Money' as a reference.