Uploaded June 2026 | Updated September 2026, 5 days ago
Not every AI task needs the biggest, most expensive model.
In this Dino's Tech World explainer, Dean breaks down the practical differences between small models, flagship models, reasoning models, coding models, multimodal models, long-context models, and local/open-weight models.
You will learn how tokens, credits, premium requests, and usage limits affect model choice, why advanced models can burn through your budget faster, and how to choose the smallest capable model for the job.
This is not a provider pricing chart. Model names, prices, limits, and credit rules change constantly. The durable skill is learning how to match the model class to the task.
Discord: discord.gg/rhNSbCgN4x
Not every AI task needs the biggest, most expensive model.
In this Dino's Tech World explainer, Dean breaks down the practical differences between small models, flagship models, reasoning models, coding models, multimodal models, long-context models, and local/open-weight models.
You will learn how tokens, credits, premium requests, and usage limits affect model choice, why advanced models can burn through your budget faster, and how to choose the smallest capable model for the job.
This is not a provider pricing chart. Model names, prices, limits, and credit rules change constantly. The durable skill is learning how to match the model class to the task.
Discord: discord.gg/rhNSbCgN4x
