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Every time you chat with AI, it uses real computing power and resources. Here are some examples of what the cost of AI covers:
The cost of your prompting to an AI is generally calculated in Tokens, which are a basic unit of text that the AI models process.
The cost of AI models varies based on several factors:
You can view the cost of models in Expanse by going to the Model Pricing tab in Settings.
Term | Definition |
---|---|
Token | The individual units of text that AI models break down and process. Eg. Words, punctuation marks, and parts of words. 4 English characters ≈ 1 token. |
Tokens I/O | Tokens In/Out: The number of tokens in the user’s message sent to the AI (input), and the number of tokens the AI generates in its response (output). |
Input MTok | The token cost for messages sent to the AI model. Larger messages (like file uploads) use more input tokens. |
Output MTok | The token cost for responses generated by the AI model. Longer, more detailed responses use more output tokens. |
MTok | A billing measurement where 1 MTok = 1 million tokens. Used to calculate large usage costs for AI interactions. |
Context window | The maximum number of tokens an AI model can process and reference at once (including both input and output text). |
Maximum Output | The maximum length (in tokens) that an AI model can generate in a single response |
Per Image Pricing | The cost for an image to be generated. |
Model | A specific version of AI with its own set of capabilities, costs, and performance characteristics. |
Provider | An organization that develops and supplies AI models. Each provider can offer multiple AI models with different capabilities and specializations. |
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