At 15 requests/user/day (totaling 22,500,000 queries/mo), running Translation on Llama 3.3 70B Instruct costs $93,262.50 / month ($1.865 / 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 3.3 70B Instruct (Current) | meta | $93,262.50 | $1.865 | $1,119,150.00 | 128,000 |
| GPT-5.6 Terra | openai | $1,679,625.00 | $33.593 | $20,155,500.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $2,099,531.25 | $41.991 | $25,194,375.00 | 256,000 |
| o3-mini | openai | $658,968.75 | $13.179 | $7,907,625.00 | 200,000 |
| o4-mini | openai | $654,328.125 | $13.087 | $7,851,937.50 | 256,000 |
| o1-mini | openai | $658,968.75 | $13.179 | $7,907,625.00 | 128,000 |
At 15 queries per user/day with Llama 3.3 70B Instruct, the estimated cost is $1.865 per monthly active user (MAU). Total monthly bill for 50,000 Active Users is $93,262.50.
Assuming a 15% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on Llama 3.3 70B Instruct.
With a direct COGS of $1.865 per user/month on Llama 3.3 70B Instruct, charging at least $9.326 per user/month ensures an 80%+ software gross margin.