Model: Meta: Llama 3.1 405B Instruct, Context: 32768, Cost: $0.8 per 1M input tokens, $0.8 per 1M output tokens
Note: Calculation is approximate based on public data. Prices may change, check official websites.
The Meta Llama 3.1 405B Instruct Cost Calculator is a tool designed to help you estimate the costs associated with using the Meta Llama 3.1 405B Instruct model. This powerful language model boasts a substantial context window of 32768 tokens.
Understanding the pricing structure is crucial for managing your AI-powered applications. The calculator utilizes the following cost rates:
- Input Tokens: $0.8 per 1 million tokens
- Output Tokens: $0.8 per 1 million tokens
The cost is calculated using the following formula:
Total Cost = (Number of Input Tokens / 1,000,000 * Input Cost per Token) + (Number of Output Tokens / 1,000,000 * Output Cost per Token) * Number of Requests
Example: To calculate the cost for 100,000 input tokens and 50,000 output tokens for a single request:
Input Cost = (100,000 / 1,000,000) * $0.8 = $0.08
Output Cost = (50,000 / 1,000,000) * $0.8 = $0.04
Total Cost = ($0.08 + $0.04) * 1 = $0.12
Please note that this calculator provides an approximation based on publicly available pricing. Actual costs may vary, and it is always recommended to consult the official Meta AI documentation for the most up-to-date information.