At 40 requests/user/day (totaling 600,000 queries/mo), running AI coding assistant on Llama 3.3 70B Instruct costs $2,004.00 / month ($4.008 / user / mo).
Total expected API invoice for 500 Active Users generating 600,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 60% 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 | $2,004.00 | $4.008 | $24,048.00 | 128,000 |
| GPT-5.6 Terra | openai | $21,024.00 | $42.048 | $252,288.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $26,280.00 | $52.56 | $315,360.00 | 256,000 |
| o3-mini | openai | $10,824.00 | $21.648 | $129,888.00 | 200,000 |
| o4-mini | openai | $9,636.00 | $19.272 | $115,632.00 | 256,000 |
| o1-mini | openai | $10,824.00 | $21.648 | $129,888.00 | 128,000 |
At 40 queries per user/day with Llama 3.3 70B Instruct, the estimated cost is $4.008 per monthly active user (MAU). Total monthly bill for 500 Active Users is $2,004.00.
Assuming a 60% 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 $4.008 per user/month on Llama 3.3 70B Instruct, charging at least $20.04 per user/month ensures an 80%+ software gross margin.