At 40 requests/user/day (totaling 12,000 queries/mo), running AI coding assistant on Ministral 3 8B costs $13.536 / month ($1.354 / user / mo).
Total expected API invoice for 10 Active Users generating 12,000 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 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Ministral 3 8B (Current) | mistral | $13.536 | $1.354 | $162.432 | 128,000 |
| GPT-5.6 Luna | openai | $42.048 | $4.205 | $504.576 | 1,050,000 |
| GPT-5.4 mini | openai | $157.68 | $15.768 | $1,892.16 | 256,000 |
| GPT-5.4 nano | openai | $43.248 | $4.325 | $518.976 | 128,000 |
| GPT-4o mini | openai | $29.52 | $2.952 | $354.24 | 128,000 |
| Claude Haiku 4.5 | anthropic | $186.24 | $18.624 | $2,234.88 | 1,000,000 |
At 40 queries per user/day with Ministral 3 8B, the estimated cost is $1.354 per monthly active user (MAU). Total monthly bill for 10 Active Users is $13.536.
Assuming a 60% cache hit rate on repeated system and context tokens, prompt caching saves $11.664 per month ($139.968/year) on Ministral 3 8B.
With a direct COGS of $1.354 per user/month on Ministral 3 8B, charging at least $6.768 per user/month ensures an 80%+ software gross margin.