At 40 requests/user/day (totaling 12,000,000 queries/mo), running AI coding assistant on Llama 4 Scout (109B MoE) costs $32,400.00 / month ($3.24 / user / mo).
Total expected API invoice for 10,000 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 60% cache hits on prompt context.
| Model | Provider | Monthly Spend (10,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Llama 4 Scout (109B MoE) (Current) | meta | $32,400.00 | $3.24 | $388,800.00 | 10,000,000 |
| GPT-5.6 Terra | openai | $420,480.00 | $42.048 | $5,045,760.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $525,600.00 | $52.56 | $6,307,200.00 | 256,000 |
| o3-mini | openai | $216,480.00 | $21.648 | $2,597,760.00 | 200,000 |
| o4-mini | openai | $192,720.00 | $19.272 | $2,312,640.00 | 256,000 |
| o1-mini | openai | $216,480.00 | $21.648 | $2,597,760.00 | 128,000 |
At 40 queries per user/day with Llama 4 Scout (109B MoE), the estimated cost is $3.24 per monthly active user (MAU). Total monthly bill for 10,000 Active Users is $32,400.00.
Assuming a 60% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on Llama 4 Scout (109B MoE).
With a direct COGS of $3.24 per user/month on Llama 4 Scout (109B MoE), charging at least $16.20 per user/month ensures an 80%+ software gross margin.