Season 1 · Episode 73 · October 7, 2026 · 51 min

Which AI Model Should You Use? AI Model Families Explained

Show Notes

Every new AI model claims to be the best—but best at what? If you’re choosing between different AI model families, the newest and most powerful option may not be the right one for the job.

As OpenAI and Anthropic release growing families of AI models, choosing the newest or most expensive option no longer guarantees the best result. Different models are now designed for complex reasoning, everyday work and high-volume routine tasks, and using the wrong one can waste money, consume your usage allowance and produce worse output.

In this week’s episode, we explain how to choose the right AI model for each job, why model pricing affects the software your business uses, and what cached context and benchmark scores actually tell you. We also discuss the different strengths of Claude and ChatGPT, before looking at OpenAI Dots and Meta's Muse, the new personal AI agents competing for access to your email, calendar and business tools.

AI Agent Harness episode: https://earlyadoptr.ai/episodes/what-is-an-ai-agent-harness-how-better-ai-setup-makes-agents-more-reliable

What You’ll Learn

How to match premium, everyday and high-volume AI models to different types of work
Why the most powerful AI model is not always the best model for the job
How model pricing, usage limits and cached context affect businesses and individual users
What AI benchmark tests measure—and why the headline scores can mislead you
Why the tools, data and agent harness around a model can matter more than the model itself
What OpenAI Dots and Meta Muse reveal about the next generation of personal AI agents

Timestamps:

00:43 Introduction and Weekly Updates

03:23 The Latest OpenAI, Anthropic and Google AI Model Releases

06:08 AI Model Families Explained

08:33 How to Choose the Right AI Model

11:32 How AI Model Pricing Affects Your Costs

13:04 OpenAI and Anthropic Model Tiers Explained

15:07 AI Usage Limits and Context Caching

17:51 Why the Most Powerful AI Model Isn’t Always Best

28:13 How AI Context Caching Works

32:38 Can You Trust AI Benchmark Tests?

35:54 Why the AI Model Is Only Part of the Picture: Why the AI Agent Harnesses Matters