How to Pick Between AI Models for Different Tasks
No single model is best at every task. Here is the decision framework I use after running the same prompts against four models for a year. I have active access to four AI models for daily work and I do not always use the same one. People ask me which model is best and the honest answer is that it depends on the task, the budget, and how much I trust the output. After running the same prompts against different models side by side for a year, I have a decision framework that I use instead of defaulting to whatever model I opened last. Match the Model to the Task Type Models have strengths. In my experience, the larger reasoning-focused models are noticeably better at multi-step logic, long code, and careful analysis. The faster smaller models are better for short tasks: drafting an email, summarizing a meeting, formatting text. The vision-capable models are best when the input includes screenshots, diagrams, or photos. The models with strong tool use are best when the prompt requires calling functions or searching the web. I start every task by asking what kind of task it is. If it is a short writing task, I use the cheapest model that handles it well and stop. If it is a multi-step debugging task, I pick a reasoning model even though it is slower and costs more.