Framework

AI Model Selection Cheatsheet

Match cognitive load to model capability. A decision framework to select the right model for your task — whether you're using Claude, OpenAI, or Google.

The Decision Framework

Three questions to select the right model:

Question If Yes Model Tier
Is this execution? Well-defined task, clear success criteria, checklist exists Small Model (no thinking)
Does this need judgment? Guidelines exist but interpretation needed, some ambiguity Mid Model + Thinking
Is this complex? Define the problem then solve it, strategic reasoning required Top Model + Thinking

Context Modifier: Skills, Projects, or Instructions with domain knowledge reduce complexity by one tier.

Cross-Platform Model Reference

Note: Model names and versions change frequently. What matters is the tier — not the specific model. Choose your provider's fastest/cheapest option for Small tier, their balanced/mid-range for Mid tier, and their most capable for Top tier.

Task Type Claude Tier OpenAI Tier Google Tier Thinking?
Structured / Execution Fastest & Economical Fast & Cost-Effective Speed-Optimized No
Unstructured / Judgment Balanced Capability Balanced Reasoning Advanced Reasoning Yes
Complex / Strategic Most Capable Most Advanced Most Powerful Yes

The Employee Analogy

Employee Level Task Type What They Do
Junior Execution Executes instructions from a checklist
Mid-Level Judgment Interprets intent within guidelines
Senior Complex Frames the problem, then solves it

Don't pay senior rates for junior work. Don't expect junior output on senior problems.

Practical Examples

Format a document, run a template

Small Execution

Site audit, data extraction

Small Execution

Evaluate my LinkedIn headline

Mid + Thinking Judgment

Debug code, implement feature

Mid + Thinking Judgment

Blindspot analysis, strategy development

Top + Thinking Complex

System architecture, novel frameworks

Top + Thinking Complex

Key Rules

1

Always enable thinking mode for Mid and Top tier models

2

Context (Skills/Projects/Instructions) drops complexity by one tier

3

Pay compute upfront to avoid correction tax downstream

4

The less structured the request, the more advanced the model

Ready to apply this framework?

Use this decision framework to build Digital Employees that match your task complexity. The right model at the right tier saves both compute and iteration.

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