At 40 requests/user/day (totaling 3,000,000 queries/mo), running AI coding assistant on Ministral 3 14B costs $4,512.00 / month ($1.805 / user / mo).
Total expected API invoice for 2,500 Active Users generating 3,000,000 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 (2,500 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Ministral 3 14B (Current) | mistral | $4,512.00 | $1.805 | $54,144.00 | 128,000 |
| GPT-5.6 Luna | openai | $10,512.00 | $4.205 | $126,144.00 | 1,050,000 |
| GPT-5.4 mini | openai | $39,420.00 | $15.768 | $473,040.00 | 256,000 |
| GPT-5.4 nano | openai | $10,812.00 | $4.325 | $129,744.00 | 128,000 |
| GPT-4o mini | openai | $7,380.00 | $2.952 | $88,560.00 | 128,000 |
| Claude Haiku 4.5 | anthropic | $46,560.00 | $18.624 | $558,720.00 | 1,000,000 |
At 40 queries per user/day with Ministral 3 14B, the estimated cost is $1.805 per monthly active user (MAU). Total monthly bill for 2,500 Active Users is $4,512.00.
Assuming a 60% cache hit rate on repeated system and context tokens, prompt caching saves $3,888.00 per month ($46,656.00/year) on Ministral 3 14B.
With a direct COGS of $1.805 per user/month on Ministral 3 14B, charging at least $9.024 per user/month ensures an 80%+ software gross margin.