GPT, Claude, Grok, DeepSeek, or Gemini: how to choose between the AI-model Portfolios

I'm Chris, one of the co-founders of Autopilot. The question I get is always which model is best. I'm not going to answer it, and I'll tell you why.

It's the wrong question. The model matters less than what the Pilot does with it. Let me explain how to actually choose.

One thing first, because we're an SEC-registered investment adviser and I have to say it. Autopilot is the app. The actual investment advice comes from Autopilot Advisers, LLC. If you want the full legal version of anything in here, it's on our disclaimer page.

1) Why the model name misleads you

There are Portfolios on Autopilot built with GPT, Claude, Grok, DeepSeek, Gemini, Perplexity's model, and Meta's Muse. Several models show up in more than one Portfolio, from more than one Pilot.

What people miss is that two Grok Portfolios from two different Pilots can behave like completely different animals, because one asks a question weekly and the other runs a quality screen monthly. Meanwhile a GPT Portfolio and a DeepSeek Portfolio from the same Pilot can behave a lot alike, because they share a process.

So the model is one ingredient. The recipe is the Pilot's. Autopilot doesn't use AI to pick anything itself; in every one of these, a Pilot is using a model as part of their own stock selection.

2) The three kinds of process

Almost every AI-model Portfolio on the platform falls into one of three shapes.

A scoring process. Data goes in, every stock gets graded, the top ones get held, and it rebalances on a schedule. Dr. Lira's AI Finance Labs runs its GPT and DeepSeek Portfolios this way.

A research process. The Pilot uses the model with a research toolkit and a thesis for each trade, and trades when the thesis changes. Rallies' Arena works this way, and publishes the reasoning behind each decision.

A question process. The Pilot asks the model a specific question on a fixed cadence and builds from the answer. Powered by Grok works this way, with a different question for each Portfolio.

Pick the shape first. It tells you more about how a Portfolio will behave than the model name ever will.

3) The questions that actually separate them

How often does it change? Daily, weekly, and monthly Portfolios behave very differently, and the fast ones cost more in trading and taxes in a regular brokerage account.

How many positions? Six to eight is a very different ride from 15 or 20.

What data does the model see? Most use public information. Quiver's Portfolios feed the models Quiver's own data, which is a real difference.

Is the process written down? Several Pilots publish white papers. Read them.

4) Where to read about each one

The Pilot pages cover each lineup in detail: Dr. Lira's AI Finance Labs, Rallies' AI Arena, Powered by Grok, and the Quiver Enhanced Portfolios.

The model-by-model pages are Claude, Grok, DeepSeek, Gemini, and Perplexity. The full map is Every AI-model Portfolio on Autopilot.

5) What I'd tell a friend

I want to be honest with you. Nobody can tell you which model will pick better stocks next year, and anybody ranking them for you is selling something. The model that led one stretch hasn't reliably been the one that led the next.

Pick the process you understand, the rhythm that fits your account, and the Pilot whose method is written down. Then read the worst stretch in the record before the best one.

6) How following works

Pick a Portfolio, connect the brokerage you already use, and allocate money. You give Autopilot Advisers limited authority to send orders to the account you already have. When the Portfolio changes, we send them and your broker fills them. The money stays put.

A flat cash subscription, not a percentage of your balance. Per our Form CRS dated February 2026, Basic Tier has no Base Advisory and Licensing Fee, and Premium Tier is $29.99 to $199.99 a quarter or $99.99 to $699.99 a year. Pilot subscriptions are separate and add on for each Pilot you subscribe to. Because it's a flat dollar amount, it's a bigger share of a small account than a big one, so do the math at your balance.

TLDR: Don't choose an AI-model Portfolio by the model's name. Choose by the Pilot's process, a scoring system, a research setup or a recurring question, then by how often it trades and how many positions it holds. The model is an ingredient; the recipe is the Pilot's.

Frequently asked questions

Which AI portfolio should I follow on Autopilot?

Choose by process rather than by model. Decide whether you want a scoring system, a research-driven book or a recurring-question approach, then check how often it trades and how many positions it holds. Nobody can tell you which model will pick better.

GPT portfolio vs Claude portfolio

The difference that matters is usually the Pilot's process, not the model. On Autopilot, the GPT and Claude Portfolios come from more than one Pilot, and each Pilot uses the model differently. Compare process, cadence, and position count, not model names.

What's the difference between the AI-model portfolios on Autopilot?

They're built by different independent Pilots using different processes: scoring systems, research setups with published reasoning, and recurring questions to a model. Some use proprietary data. They also differ in how often they trade and how concentrated they are.

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Since Autopilot Advisers is an SEC-registered investment adviser, we have to put disclaimers on stuff like this. They're below, and the full version is on our disclaimer page.

Disclosures

© Autopilot Holdings Corporation 2026 — All rights reserved. “Autopilot” refers to Autopilot Holdings Corporation and its wholly-owned, and separately managed subsidiaries, including Autopilot Advisers, LLC, an SEC-registered investment adviser. All investing is subject to investment risks, including possible loss of the principal invested, and past performance is not indicative of future results. View our Customer Relationship Summary and other important information at joinautopilot.com/disclaimer.

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