使用chatGPT的api key是收费的.
官方文档： We offer a spectrum of models with different capabilities and price points. In this tutorial, we used text-davinci-003, our most capable natural language model. We recommend using this model while experimenting since it will yield the best results. Once you’ve got things working, you can see if the other models can produce the same results with lower latency and costs. The total number of tokens processed in a single request (both prompt and completion) can’t exceed the model's maximum context length. For most models, this is 2,048 tokens or about 1,500 words. As a rough rule of thumb, 1 token is approximately 4 characters or 0.75 words for English text. Pricing is pay-as-you-go per 1,000 tokens, with $5 in free credit that can be used during your first 3 months. Learn more.
也就是说前3个月免费，这里写$5, 实际我观察账户是18
token 官方定义如下：
Tokens Our models understand and process text by breaking it down into tokens. Tokens can be words or just chunks of characters. For example, the word “hamburger” gets broken up into the tokens “ham”, “bur” and “ger”, while a short and common word like “pear” is a single token. Many tokens start with a whitespace, for example “ hello” and “ bye”. The number of tokens processed in a given API request depends on the length of both your inputs and outputs. As a rough rule of thumb, 1 token is approximately 4 characters or 0.75 words for English text. One limitation to keep in mind is that your text prompt and generated completion combined must be no more than the model's maximum context length (for most models this is 2048 tokens, or about 1500 words). Check out our tokenizer tool to learn more about how text translates to tokens.
简单的说也就是说是“分词“
具体的定价规则如下：
[1](Pricing (openai.com))
[2]([openai quickstart]platform.openai.com/docs/quicks…)
