Model: Sao10K: Llama 3.3 Euryale 70B, Context: 131072, Cost: $0.65 per 1M input tokens, $0.75 per 1M output tokens
Note: Calculation is approximate based on public data. Prices may change, check official websites.
This calculator helps you estimate the cost of using the Sao10K: Llama 3.3 Euryale 70B model. It's designed for developers and users who want to forecast their AI-driven application expenses.
The model offers a large context window of 131072 tokens, making it suitable for complex tasks requiring extensive input data.
Pricing:
- Input Tokens: $0.65 per 1 million tokens
- Output Tokens: $0.75 per 1 million tokens
Formula:
Total Cost = (Number of Input Tokens / 1,000,000 * Input Cost per 1M Tokens + Number of Output Tokens / 1,000,000 * Output Cost per 1M Tokens) * Number of Requests
Example:
For 100,000 input tokens, 20,000 output tokens, and 5 requests:
Input Cost = (100,000 / 1,000,000) * $0.65 * 5 = $0.325
Output Cost = (20,000 / 1,000,000) * $0.75 * 5 = $0.075
Total Cost = $0.325 + $0.075 = $0.40