At 200 requests/user/day (totaling 60,000,000 queries/mo), running Data extraction & tagging on Ministral 3 14B costs $22,680.00 / month ($2.268 / user / mo).
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 |
|---|---|---|---|---|---|
| Ministral 3 14B (Current) | mistral | $22,680.00 | $2.268 | $272,160.00 | 128,000 |
| GPT-5.6 Luna | openai | $37,680.00 | $3.768 | $452,160.00 | 1,050,000 |
| GPT-5.4 mini | openai | $141,300.00 | $14.13 | $1,695,600.00 | 256,000 |
| GPT-5.4 nano | openai | $38,430.00 | $3.843 | $461,160.00 | 128,000 |
| GPT-4o mini | openai | $25,200.00 | $2.52 | $302,400.00 | 128,000 |
| Claude Haiku 4.5 | anthropic | $173,400.00 | $17.34 | $2,080,800.00 | 1,000,000 |
At 200 queries per user/day with Ministral 3 14B, the estimated cost is $2.268 per monthly active user (MAU). Total monthly bill for 10,000 Active Users is $22,680.00.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $4,320.00 per month ($51,840.00/year) on Ministral 3 14B.
With a direct COGS of $2.268 per user/month on Ministral 3 14B, charging at least $11.34 per user/month ensures an 80%+ software gross margin.