FAQs
What is the different between the models?
Model Name |
Strengths |
Pricing |
GPT-4o |
Optimized for efficiency, balancing performance and cost. |
-
Input: $0.005 / 1K tokens
-
Output: $0.015 / 1K tokens
|
GPT-3.5 Turbo |
Good for general tasks, but less powerful overall |
-
Input: $0.0005 / 1K tokens
-
Output: $0.0015 / 1K tokens
|
GPT-4 Turbo |
Faster and cheaper than GPT-4 |
-
Input: $0.01 / 1K tokens
-
Output: $0.03 / 1K tokens
|
GPT-4 |
Better context, reasoning, and creativity but slower and more expensive |
-
Input: $0.03 / 1K tokens
-
Output: $0.06 / 1K tokens
|
What is a token?
A token in the context of GPT models is a unit of text, which can be as short as one character or as long as one
word. For example, in the sentence "ChatGPT is great!", the text could be broken down into tokens such as "Chat",
"GPT", "is", "great", and "!". The exact tokenization depends on the language model's encoding scheme.
What is "temperature"?
The temperature parameter in GPT models controls the randomness of the generated text. Lower temperatures (e.g.,
0.2) result in more deterministic and focused outputs, while higher temperatures (e.g., 0.8) produce more diverse
and creative responses.