Calculate AI model costs based on token usage
ai1Category: ai-agentsInput Cost
$30
Cache Cost
$2
Output Cost
$30
Total Monthly Cost
$62
Processing 10M input tokens at $3/M, 5M cache tokens at $0/M, and 2M output tokens at $15/M yields $62 total monthly cost.
AI token pricing varies significantly across models based on parameter count, training methodology, and provider infrastructure costs. Input tokens cost less than output tokens due to computational asymmetry, while prompt caching enables dramatic cost reduction by reusing common context across requests.
Token cost optimization balances model capability against pricing efficiency. Large context windows and prompt caching strategies can reduce effective per-token costs while maintaining quality, particularly for applications with reusable instruction patterns or reference documents.
Input Cost
$30
Cache Cost
$2
Output Cost
$30
Total Monthly Cost
$62
Processing 10M input tokens at $3/M, 5M cache tokens at $0/M, and 2M output tokens at $15/M yields $62 total monthly cost.
AI token pricing varies significantly across models based on parameter count, training methodology, and provider infrastructure costs. Input tokens cost less than output tokens due to computational asymmetry, while prompt caching enables dramatic cost reduction by reusing common context across requests.
Token cost optimization balances model capability against pricing efficiency. Large context windows and prompt caching strategies can reduce effective per-token costs while maintaining quality, particularly for applications with reusable instruction patterns or reference documents.