At 8 requests/user/day (totaling 12,000,000 queries/mo), running Agentic workflow on Llama 3.1 8B Instruct costs $25,440.00 / month ($0.5088 / user / mo).
Total expected API invoice for 50,000 Active Users generating 12,000,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 65% cache hits on prompt context.
| Model | Provider | Monthly Spend (50,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Llama 3.1 8B Instruct (Current) | meta | $25,440.00 | $0.5088 | $305,280.00 | 128,000 |
| GPT-5.6 Luna | openai | $61,440.00 | $1.229 | $737,280.00 | 1,050,000 |
| GPT-5.4 mini | openai | $230,400.00 | $4.608 | $2,764,800.00 | 256,000 |
| GPT-5.4 nano | openai | $62,340.00 | $1.247 | $748,080.00 | 128,000 |
| GPT-4o mini | openai | $59,400.00 | $1.188 | $712,800.00 | 128,000 |
| Claude Haiku 4.5 | anthropic | $289,200.00 | $5.784 | $3,470,400.00 | 1,000,000 |
At 8 queries per user/day with Llama 3.1 8B Instruct, the estimated cost is $0.5088 per monthly active user (MAU). Total monthly bill for 50,000 Active Users is $25,440.00.
Assuming a 65% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on Llama 3.1 8B Instruct.
With a direct COGS of $0.5088 per user/month on Llama 3.1 8B Instruct, charging at least $2.544 per user/month ensures an 80%+ software gross margin.