How to · Getting started

How to get started with AI models beyond ChatGPT

There are three places to get a model: the lab that made it, a host renting somebody else's by the word, or your own machine. The same hour's work costs wildly different amounts depending on which door you walk through, and the three below are named so you can stop choosing and start.

Updated 23 Sept 2026

Almost every model built in the last couple of years answers to the same shape of request. What you are choosing is a supplier, and you can change supplier next month for the price of a line of configuration. Everything below is a shopping trip, not a commitment, which is the single most useful thing to know before you spend anything.

There are three places to shop. The lab that made a model will sell it to you directly, by the word. A ChatGPT or Claude subscription is a different purchase: a flat monthly fee for an app, with no spend cap because there is nothing to cap. A host will rent you somebody else's model by the word, and because several hosts often serve the same model, that is where the price competition happens. And if a model has open weights, you can download it onto your own machine, where nothing you type leaves the room and nobody meters you.

One account is enough to begin. OpenRouter reaches more models with a single key than any other account we list, so you can try a lab's flagship and a downloadable workhorse in the same afternoon without signing up twice; the specialist hosts like DeepInfra are usually cheaper once you know which model you want. What any of it costs sits on each model's page, host by host, and the cheapest hosted models is the same figure sorted.

Three models follow, one for each door. Each links to its live page, where the price, the hosts and whether it fits your machine are all current — those move week to week, which is why they belong there and not in this sentence.

Where next: The catalogue · Run one on your own machine

What to run it with

Questions people actually ask

Do I need to know how to code?+

Not for most of it. Trying a model through a provider's chat window takes no code at all, and running one on your own machine is an app install. Code enters when you want a model inside your own scripts and tools, and by then you will know which model you want it to be.

How do I know what it will cost before I commit?+

Prices are quoted per million tokens, and a token is a chunk of a word, so an ordinary paragraph is a hundred or so of them. Every model page lists what each host charges today, side by side, which is the number to look at and not any figure written into a guide. Open the account with a spend cap set and the worst case for the month is that cap.

What is the catch with running one on my own machine?+

Memory. A model has to fit in your machine's memory to answer at a sensible speed, and the largest open models are far beyond any laptop. Small and mid-sized ones have become genuinely good, and the fit check tells you which ones your machine holds before you download anything.

Am I stuck with whatever I pick first?+

No, and this is the part worth internalising. Nearly every provider accepts the same shape of request, so moving a working setup to another model is usually a changed address and a new key. Start cheaply and change your mind as often as you like.

The lab, a host, or your own machine: three doors, one shape of request behind all of them. Rent for an hour first, with a spend cap set, and let that hour tell you which door you actually want.