33. Model Selection Strategy
Select a model based on task type, risk, speed, privacy, and available context.
By Jacques Botte, founder of Toptronic®. Last updated 12 September 2026.
The lesson
Simple formatting, summarisation, and brainstorming often work on cheaper models. Architecture, debugging, legal-like risk, and complex code need stronger models.
Local models are attractive for private work. Cloud frontier models are attractive for difficult reasoning.
The expert habit is to match model strength to business risk instead of always choosing the newest model.
Check yourself
Question 1: Which tasks often work on cheaper models?
- Deep architecture under uncertainty
- Critical security review
- Complex debugging
- Formatting, summaries, brainstorming, simple transformations — correct
Answer: Formatting, summaries, brainstorming, simple transformations
Simple tasks do not always need frontier models.
Question 2: When are local models attractive?
- When best reasoning is guaranteed
- When internet-only is required
- Private work and user-controlled experiments — correct
- When no hardware exists
Answer: Private work and user-controlled experiments
Local models help privacy and control.
Question 3: What is the expert model-selection habit?
- Ignore context needs
- Match model strength to task risk — correct
- Always choose newest
- Always choose cheapest
Answer: Match model strength to task risk
Risk, quality, cost, privacy, and speed should guide selection.
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