At 4 requests/user/day (totaling 60,000 queries/mo), running Document summarization on Llama 3.3 70B Instruct costs $291.24 / month ($0.5825 / user / mo).
Total expected API invoice for 500 Active Users generating 60,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 10% cache hits on prompt context.
| Model | Provider | Monthly Spend (500 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Llama 3.3 70B Instruct (Current) | meta | $291.24 | $0.5825 | $3,494.88 | 128,000 |
| GPT-5.6 Terra | openai | $3,162.00 | $6.324 | $37,944.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $3,952.50 | $7.905 | $47,430.00 | 256,000 |
| o3-mini | openai | $1,725.90 | $3.452 | $20,710.80 | 200,000 |
| o4-mini | openai | $1,684.65 | $3.369 | $20,215.80 | 256,000 |
| o1-mini | openai | $1,725.90 | $3.452 | $20,710.80 | 128,000 |
At 4 queries per user/day with Llama 3.3 70B Instruct, the estimated cost is $0.5825 per monthly active user (MAU). Total monthly bill for 500 Active Users is $291.24.
Assuming a 10% 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 $0.5825 per user/month on Llama 3.3 70B Instruct, charging at least $2.912 per user/month ensures an 80%+ software gross margin.