🪙Tokens and Limits
What are tokens and what are their limits?
Tokens are essentially "points" that are used for each request made in the bot. They are spent on tasks such as text processing, image generation, and selecting different models (like GPT-4o Mini, GPT-4o, o1, and Claude Sonnet 3.5).
Each day, users receive 100,000 free tokens. If you reach the daily limit, you can purchase additional tokens in the "Balance" (Subscription) section, in any amount you need. This is especially useful if you need a large number of tokens at once, such as when writing a book.
There is also an option to earn bonus tokens for free: by inviting a friend with a referral link, you receive 10,000 tokens. Go to the "Get Free Tokens" section in the menu to access this option.
Token Consumption Calculation System
In our system, a differentiated approach is used to calculate the cost of requests depending on the selected model. Each model has its own unique multiplier that determines how many tokens will be consumed when using a specific model.
How is the cost calculated?
The cost of a request is calculated using the following formula:
Total Cost = Number of Tokens in Request Ă— Model Multiplier
For example:
If your request contains 1000 tokens and you use the
gpt-4o-mini
model (multiplier 1), the total cost will be 1000 tokens .If the same request (1000 tokens) is processed using the
gemini-pro-1.5
model (multiplier 8), the total cost will be 8000 tokens .
Model Multipliers Table
GPT 4o Mini
1
Deep Seek
1
Gemini Flash 1.5
1
Gemini Pro 1.5
8
GPT 4o
15
Claude 3.5 Sonnet
20
Claude 3.5 Haiku
8
GPT o1 Preview
100
GPT o1 Mini
20
Examples of Calculations
Simple Request :
Request: 500 tokens
Model:
gpt-4o-mini
(multiplier 1)Total Cost: 500 Ă— 1 = 500 tokens
Complex Request :
Request: 750 tokens
Model:
google/gemini-pro-1.5
(multiplier 8)Total Cost: 750 Ă— 8 = 6000 tokens
High-Performance Model :
Request: 200 tokens
Model:
o1-preview
(multiplier 100)Total Cost: 200 Ă— 100 = 20,000 tokens
Important Notes
The higher the performance and complexity of the model, the higher the multiplier.
When choosing a model, consider not only its capabilities but also the cost of usage.
For testing purposes, it is recommended to use models with low multipliers, such as
gpt-4o-mini
orgemini-flash-1.5
.
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