At 15 requests/user/day (totaling 22,500,000 queries/mo), running Translation on Llama 3.1 405B Instruct costs $630,000.00 / month ($12.60 / user / mo).
Total expected API invoice for 50,000 Active Users generating 22,500,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 15% cache hits on prompt context.
| Model | Provider | Monthly Spend (50,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Llama 3.1 405B Instruct (Current) | meta | $630,000.00 | $12.60 | $7,560,000.00 | 128,000 |
| GPT-5.6 Sol | openai | $4,199,062.50 | $83.981 | $50,388,750.00 | 1,050,000 |
| GPT-5.6 Cyber | openai | $10,497,656.25 | $209.953 | $125,971,875.00 | 1,050,000 |
| GPT-5.5 Standard | openai | $4,199,062.50 | $83.981 | $50,388,750.00 | 512,000 |
| GPT-5.5 Pro | openai | $25,194,375.00 | $503.888 | $302,332,500.00 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $11,846,250.00 | $236.925 | $142,155,000.00 | 1,000,000 |
At 15 queries per user/day with Llama 3.1 405B Instruct, the estimated cost is $12.60 per monthly active user (MAU). Total monthly bill for 50,000 Active Users is $630,000.00.
Assuming a 15% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on Llama 3.1 405B Instruct.
With a direct COGS of $12.60 per user/month on Llama 3.1 405B Instruct, charging at least $63.00 per user/month ensures an 80%+ software gross margin.