GPT-6 Astra, Gemini 4 Argon, and Claude Opus 5.5 are three powerful AI models, but which one performs better when given actual work? To find out, we put them through four practical tasks involving project reporting, data analysis, product wireframing, and go-to-market strategy.

Rather than relying on benchmark scores, we tested how accurately each model followed instructions, handled supplied files, and delivered usable results. In this article, we compare their outputs, examine where each model succeeded or struggled, and reveal which performed best overall.

Table of contents

How I tested them

Product wireframing

Project reporting

Data insights

GTM strategy

Scorecard

Frequently Asked Questions

How I tested them

Here are the settings I had used for testing the three models:

Model Browser app Setting

GPT-6 Astra ChatGPT Work Ultra

Gemini 4 Argon Gemini Chat High

Claude Opus 5.5 Claude Chat Max

High is Argon’s highest thinking setting. These app settings do not equalize compute or tools.…