At 200 requests/user/day (totaling 60,000,000 queries/mo), running Data extraction & tagging on Llama 4 Scout (109B MoE) costs $24,750.00 / month ($2.475 / user / mo).
Data extraction & tagging for a 10,000 active users (scale-up saas) audience means 2,000,000 requests per day on average, each carrying 2,000 input and 250 output tokens at a 20% cacheable share — so the effective per-request cost on Llama 4 Scout (109B MoE) is $0.000413, of which $0.00/mo comes back from prompt caching. Per active user that's $2.475/mo — the number to hold against your pricing tier and gross margin. Charging at least $12.375/user/mo keeps gross margin at or above 80%.
Quick answer
For 10,000 Active Users, Data extraction & tagging on Llama 4 Scout (109B MoE) is modeled at 60,000,000 requests per month, costing $24,750.00 per month or $2.475 per active user.
Method & trust
This projection combines the selected active-user tier, requests per user per day, input/output tokens per request, and the modeled cache share. It is an operating estimate, not a provider invoice; production traffic and retries should be measured against it.
Total expected API invoice for 10,000 Active Users generating 60,000,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 20% 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 | $24,750.00 | $2.475 | $297,000.00 | 10,000,000 |
| GPT-5.6 Terra | openai | $376,800.00 | $37.68 | $4,521,600.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $471,000.00 | $47.10 | $5,652,000.00 | 256,000 |
| o3-mini | openai | $184,800.00 | $18.48 | $2,217,600.00 | 200,000 |
| o4-mini | openai | $178,200.00 | $17.82 | $2,138,400.00 | 256,000 |
| o1-mini | openai | $184,800.00 | $18.48 | $2,217,600.00 | 128,000 |
At 200 queries per user/day with Llama 4 Scout (109B MoE), the estimated cost is $2.475 per monthly active user (MAU). Total monthly bill for 10,000 Active Users is $24,750.00.
Assuming a 20% 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 $2.475 per user/month on Llama 4 Scout (109B MoE), charging at least $12.375 per user/month ensures an 80%+ software gross margin.