How to choose a model
Which model to take for the task — a fast and cheap one or the smartest — and how not to overpay.
In this article
Three questions before choosing#
- How hard is the task? Summarizing a note or making self-check questions — a fast model will cope. Program architecture, hard math, a long analysis — you need a strong one.
- How much text will the model read? A big repository or a long document needs a large context window and costs more on every request.
- How much are you willing to spend? Model prices differ by dozens of times. Start with a cheap one and move to a strong one only when the cheap one does not cope.
Classes of models#
| Class | What for | Price |
|---|---|---|
| Fast and small | summaries, questions, simple edits, drafts | the cheapest |
| General-purpose | most tasks: code, explanations, agent work in a repository | medium |
| Flagship and «thinking» | hard code, math, long reasoning | the most expensive |
Every major provider has models of all three classes — look for the names in the provider articles, and compare prices in the model catalog.
How not to overpay#
- Cheap first. A fast model is enough for most questions about your notes.
- Short rules. The
AGENTS.mdfile goes to the model with every request — keep it short. - A repeated beginning. Providers cache an identical beginning of a request (rules, tools) and charge many times less for it.
- A limit on the connection. The connection settings let you set a monthly limit in dollars — the model is not called beyond it.
If a model is not available from Russia#
OpenAI, Anthropic and Google do not sell access to their models in Russia directly. In SKILLOK their models work through OpenRouter — one key for models of many companies. In detail — Connecting in SKILLOK.
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