Kway Credit Usage FAQ
Kway Credit Usage FAQ
Last Updated Date: 31 July 2024
How many Kway Credits does summarizing a single-page document use?
Credit usage varies based on factors like the chosen AI model and the number of tokens processed. For a typical A4 page (about 500 words), creating a 100-word summary might use between 1 to 12 Kway Credits. The exact amount depends on the AI model, document complexity, and word structure.
What affects a chat's complexity?
● Number of messages exchanged
● Length of each message
● Content complexity of messages
● Additional actions (e.g., file uploads)
How many credits does a typical chat use?
A standard chat with Kway AI typically costs 1-30 Kway Credits, varying based on the AI model, chat length, and interaction complexity.
What are input and output tokens?
Tokens are data units used by AI models to process text. Input tokens represent information fed into the model, while output tokens are the model's generated response.
Do Kway Credits roll over monthly?
No. Kway resets users to their standard credit amount on the first of each month. Unused credits don't carry over.
How are Kway Credits calculated?
Credits are calculated based off of two indicators that roll into one formula:
1. The count of Input and Output tokens used. Learning Language Model (LLM) being leveraged. The price of input and output tokens varies by LLM. Hatz AI takes this into account in calculations.
2. Actions (this includes API Calls, Web scraping, File Upload, etc.)
Kway Credits are based on:
● Input and output token count
● AI model used (different models have varying token prices)
● Actions performed (API calls, web scraping, file uploads, etc.)
What are Kway Credits?
Kway Credits measure AI usage within the Kway AI platform. Each user receives a set number of shareable credits across their organization, which reset monthly.
Why does Kway use a credit system?
The credit system allows Kway to measure AI usage across its platform flexibly. It enables companies to provide secure AI access to all team members, accommodating both occasional and power users without increasing costs for less frequent use.
Last Updated Date: 31 July 2024
How many Kway Credits does summarizing a single-page document use?
Credit usage varies based on factors like the chosen AI model and the number of tokens processed. For a typical A4 page (about 500 words), creating a 100-word summary might use between 1 to 12 Kway Credits. The exact amount depends on the AI model, document complexity, and word structure.
What affects a chat's complexity?
● Number of messages exchanged
● Length of each message
● Content complexity of messages
● Additional actions (e.g., file uploads)
How many credits does a typical chat use?
A standard chat with Kway AI typically costs 1-30 Kway Credits, varying based on the AI model, chat length, and interaction complexity.
What are input and output tokens?
Tokens are data units used by AI models to process text. Input tokens represent information fed into the model, while output tokens are the model's generated response.
Do Kway Credits roll over monthly?
No. Kway resets users to their standard credit amount on the first of each month. Unused credits don't carry over.
How are Kway Credits calculated?
Credits are calculated based off of two indicators that roll into one formula:
1. The count of Input and Output tokens used. Learning Language Model (LLM) being leveraged. The price of input and output tokens varies by LLM. Hatz AI takes this into account in calculations.
2. Actions (this includes API Calls, Web scraping, File Upload, etc.)
Kway Credits are based on:
● Input and output token count
● AI model used (different models have varying token prices)
● Actions performed (API calls, web scraping, file uploads, etc.)
What are Kway Credits?
Kway Credits measure AI usage within the Kway AI platform. Each user receives a set number of shareable credits across their organization, which reset monthly.
Why does Kway use a credit system?
The credit system allows Kway to measure AI usage across its platform flexibly. It enables companies to provide secure AI access to all team members, accommodating both occasional and power users without increasing costs for less frequent use.