Which Model, Which Plan?
A quick decision guide: big vs. small models, subscription vs. API - without hardcoding prices that go stale.
Big vs. small models
For hard or multi-step (agentic) tasks, a large, capable model pays off. For simple, fast, or very frequent tasks, a smaller model is usually enough - and it's faster and cheaper.
Subscription vs. API
A subscription (a fixed monthly flat rate) gives you predictable costs and pays off if you use it regularly and a lot. An API (pay per token) means you only pay for what you actually use - good for occasional use or your own apps and automations.
Practical advice
Start with whatever default your tool suggests. Only optimize once cost or quality actually becomes a real problem.
Models and prices change
Model names and prices change every few months (see Model Lifecycle). In your own notes or docs, link to a provider's live pricing page instead of hardcoding prices.
EXAMPLE
Ask yourself: 'Is this task complex and one-off, or simple and repeated often?' - that usually decides the right choice more than the raw price per token.
QUICK QUIZ
When does pay-per-token API access usually make more sense than a subscription?
SOURCES
- Claude: Pricing โ claude.com
- OpenAI: API Pricing โ openai.com