At 40 requests/user/day (totaling 12,000,000 queries/mo), running AI coding assistant on o1-mini costs $216,480.00 / month ($21.648 / 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 |
|---|---|---|---|---|---|
| o1-mini (Current) | openai | $216,480.00 | $21.648 | $2,597,760.00 | 128,000 |
| 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 |
| Claude Sonnet 5 | anthropic | $372,480.00 | $37.248 | $4,469,760.00 | 1,000,000 |
At 40 queries per user/day with o1-mini, the estimated cost is $21.648 per monthly active user (MAU). Total monthly bill for 10,000 Active Users is $216,480.00.
Assuming a 60% cache hit rate on repeated system and context tokens, prompt caching saves $47,520.00 per month ($570,240.00/year) on o1-mini.
With a direct COGS of $21.648 per user/month on o1-mini, charging at least $108.24 per user/month ensures an 80%+ software gross margin.