Model: ArliAI: QwQ 32B RpR v1, Context: 32768, Cost: $0.01 per 1M input tokens, $0.04 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 ArliAI: QwQ 32B RpR v1 model. It considers the number of input and output tokens you process, as well as the number of requests. The model boasts a substantial context window of 32768 tokens.
Pricing:
- Input Tokens: $0.01 per 1 million tokens
- Output Tokens: $0.04 per 1 million tokens
Formula:
Total Cost = (Number of Input Tokens * Input Cost per Token) + (Number of Output Tokens * Output Cost per Token) * Number of Requests
Where:
- Input Cost per Token = $0.01 / 1,000,000
- Output Cost per Token = $0.04 / 1,000,000
Example:
If you use 100,000 input tokens and 50,000 output tokens for 1 request:
Input Cost = (100,000 tokens * ($0.01 / 1,000,000)) * 1 request = $0.001
Output Cost = (50,000 tokens * ($0.04 / 1,000,000)) * 1 request = $0.002
Total Cost = $0.001 + $0.002 = $0.003
Note: Calculations are approximate and based on publicly available pricing. Actual costs may vary.