What should a newbie to AI Token look at first? The reading order of getting started, calculation, and price

The most common thing for newbies to AI Token to get stuck is not that they have never heard of the word, but that they already know that it is related to APIs, model costs, and price lists, but they are still not sure: should they understand the definition first, or learn calculations first? Should we look at the price list first or understand Input, Output and Cache first? The purpose of this article is to help you sort out the reading order so that you don't get stuck in a bunch of nouns and rate tables at the beginning.

This article is not used to replace the main battle pages of "What is AI Token", "How to calculate AI Token", and "How to view the price of AI Token", but is used as the first stop navigation page. After reading it, you will know which article to read first, so that you will not mix introductory, calculation, price, and comparison before you start learning.

First let’s talk about the conclusion: Newbies to AI Token can learn it fastest in 3 steps

The most practical entry sequence is actually very simple:

The first step is to understand what AI Token is. The second step is to understand how AI Token is calculated. The third step is to finally look at the AI Token price.

Many novices will jump directly to see the model price, API price comparison, and which one is cheaper at the beginning. However, as long as the skeleton in the front is not established, the subsequent reading will usually only become more and more confusing. Because the Input, Output, Cache, Batch, Quota, and Rate Limit in the price list are all based on the premise that you already know what Token is and how Token is calculated.

So the most important function of this article is not to give you all the knowledge at once, but to help you straighten the order of learning first.

The first step: first understand what AI Token is

The first step to get started with AI Token is not to look at the price first, nor to rush to calculate the cost first, but to first understand what the Token represents in the AI world.

When many people see Token for the first time, they first think of it as platform points, usage times, or some invisible deduction unit. This understanding is not completely wrong, but it is not accurate enough. For novices, the most important thing to establish in the first step is: Token is more like the basic unit of model processing content. It is not only used to calculate money, but also affects context length, output space, workflow design and background number interpretation.

Don’t rush to learn anything at this step

Don’t rush to learn at this stage:

Which model is cheaper

How much is the difference between Chinese and English

How to save money in Batch

Which number should be looked at in the background

How to use Prompt Caching

Because these things are based on the premise that you already know that Token is not a point, a quota, or a simple word count.

Which article is most suitable to read first for this step

Start with this article: What is AI Token? Novices understand why AI keeps mentioning Token at once

If you often confuse Token with points and quotas, you can also read on: What is the difference between AI Token and points? Not every platform uses the same algorithm

What is the difference between AI Token and quota? Understand the three common sayings on the platform

Step 2: Understand how to calculate AI Token

After you know what Token is, the second step is to learn how to calculate Token.

The key point of this step is not to calculate the price of each word, but to know first:

Token is not directly equal to the number of words

Chinese and English estimation methods are different

Input and Output must be looked at separately

Long dialogues, system prompts, and contexts may all be counted together

If you do not understand this layer first, when you look at the price list later, it is easy to think that you only sent one sentence, but the cost is much higher than imagined.

In this step, focus on the usage first, don’t rush to talk about the price

The most stable way to learn now is to focus on these questions first:

How many tokens will this content contain

What will be counted together as input

Why is the output often higher than expected

Why does a long conversation become more expensive as the conversation continues

Will the system prompt be counted

How is the AI Token calculated? Newbies understand the most basic calculation methods

Then look down at the point where you are stuck:

How many words is one AI Token? There are actually many differences between Chinese and English

What is the difference between Input Token and Output Token?

How to calculate AI Token conversion? Don’t rush and just look at the number of words

Will the system prompt words be included in the AI Token calculation?

Step Three: Finally, look at the price of AI Token

After understanding the first two steps, the third step is to look at the price. The core of this step is not to go back and ask "What is a Token", but to start to understand:

How Input is billed

How Output is billed

How Cache affects costs

Which platforms have additional function fees

How to judge what is written in the rate table

Don’t rush to compare who is the cheapest at this step

For many people, it is easiest to jump directly to ask at this step:

Which API is the most cost-effective

But a more stable order is to first understand the price list itself, and then compare prices. Otherwise, it is easy for you to only focus on a certain minimum input unit price, while ignoring output, cache, batch, tool fees and platform differences.

What’s the price of AI Token? Newbies should first understand where the fees come from

What are the billing methods for AI Token? Not every platform is the same

How to calculate the cost of AI Token? It can be seen most clearly from the separation of input and output

What is the price of AI API? Token fees and function fees should be separated

Seeing this, what many novices really need is not more knowledge, but reading order

The most common problem when getting started with AI Token is not too little information, but too much information.

As soon as you open the website, you may also see:

Each of these topics is important, but not every article should be read on the first day.

The purpose of this article is to help you unpack the order first. You don’t need to read all the articles on the first day, you just need to know:

It is enough for novices to read these 3 articles on the first day

What is AI Token? Novices can understand why AI keeps mentioning Token at once

After reading these three articles, you can then look at model comparison, API platform, procurement, cost control, and cheap solutions, and your understanding will be much faster.

What questions don’t need to be understood in the first article?

This is also where many newbies tend to get anxious. In fact, when you first start, you don’t have to figure out the following questions right away:

Who is the best among OpenAI, Claude, and Gemini

Is Prompt Caching worth using

Should I use a multi-model platform

How to choose a high CP model

These are all very important, but they belong to the second or third stage issues.

What you really need to understand now is:

What is a Token

How to calculate a Token

The skeleton must be erected first so that the subsequent comparison and selection will not be distorted.

Who is this article most suitable for?

People who are completely new to AI Token

I have often seen this term, but are not sure what it is and don’t know which article to start with.

People who have read a lot of articles, but the more they read, the more confusing they become

It’s not that they didn’t do their homework, but the information is too fragmented, and I still don’t know the order after reading it for a long time.

People who are ready to start working with APIs but have not yet established a noun skeleton

know that they will look at prices, models, and platforms later, but now they still need a clear entry point.

The most efficient way for newbies to AI Token is not to read all the articles at once, but to first build the skeleton in the correct order: first understand the token, then the calculation, and finally look at the price. As long as this order is correct, when you read the articles on model comparison, platform comparison, cost control and procurement later, you will usually no longer feel that the entire site content is like a ball of threads.

AI Token Which article should a newbie read first?

Let’s first look at what AI Token is? Why do novices understand AI at once? Why do they keep mentioning Token

Is it necessary to learn the price first when getting started with AI Token?

No need. The more stable order is usually to understand the definition first, then the calculation, and finally look at the price.

Why doesn’t this article cover all the technical details?

Because this article is positioned as an introductory guide page, not a complete tutorial page. Its purpose is to help you find the correct reading order, not to cover all sub-topics in depth at once.

What is the difference between Getting Started with AI Token and AI Token Tutorial?

This article is biased towards reading maps and functions as a guide; AI Token Teaching Lazy Pack: From getting started, calculating to cost saving, it is more about complete teaching integration.

After reading the introduction to AI Token, what is the most recommended next step?

Usually look at the AI Token first. How to calculate it? Newbies understand the most basic calculation methods and then use AI Token. What do you think of the price? Newbies should first understand where the fees come from

Data source and credibility statement

This article is written based on the official Token, Pricing, Billing and Token Counting documents, focusing on the following official sources:

OpenAI|What are tokens and how to count them?

OpenAI|API Pricing

OpenAI|Prompt Caching

Anthropic|Pricing

Anthropic|Token counting

Google AI for Developers｜Gemini API pricing

The content is organized in a three-layered manner of "official rules × price structure × novice reading order". The purpose is to help readers establish a stable entry-level skeleton first, instead of just memorizing fragmentary nouns.

If you want to understand the basic concepts of AI Token first, it is recommended to start with this article. What is AI Token? Novices can understand why AI keeps mentioning Token at once

If you want to continue reading from the entire site entrance, you can also go back to AI Token

This article belongs to the category of "Getting Started with AI Token".

This category mainly organizes the basic concepts of AI Token, differences in common nouns, platform terms, price skeletons and introductory interpretation methods to help readers who have just started to come into contact with AI tools, AI APIs and model platforms, first clarify the most confusing concepts, and then extend to calculations, costs, platforms and procurement.

AI Token teaching package for lazy people: from getting started, calculating to saving costs, understand it all at once

AI Token
Token cost

AI Token organizes the basic concepts, calculation methods, API fees and model comparisons of AI Token (word elements), and covers common models such as ChatGPT, Gemini, Claude, etc. to help you establish clear understanding and judgment faster.

What should a newbie to AI Token look at first? The reading order of getting started, calculation, and price