At 200 requests/user/day (totaling 600,000,000 queries/mo), running Data extraction & tagging on o3-mini costs $1,848,000.00 / month ($18.48 / user / mo).
Total expected API invoice for 100,000 Active Users generating 600,000,000 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 (100,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| o3-mini (Current) | openai | $1,848,000.00 | $18.48 | $22,176,000.00 | 200,000 |
| GPT-5.6 Terra | openai | $3,768,000.00 | $37.68 | $45,216,000.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $4,710,000.00 | $47.10 | $56,520,000.00 | 256,000 |
| o4-mini | openai | $1,782,000.00 | $17.82 | $21,384,000.00 | 256,000 |
| o1-mini | openai | $1,848,000.00 | $18.48 | $22,176,000.00 | 128,000 |
| Claude Sonnet 5 | anthropic | $3,468,000.00 | $34.68 | $41,616,000.00 | 1,000,000 |
At 200 queries per user/day with o3-mini, the estimated cost is $18.48 per monthly active user (MAU). Total monthly bill for 100,000 Active Users is $1,848,000.00.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $132,000.00 per month ($1,584,000.00/year) on o3-mini.
With a direct COGS of $18.48 per user/month on o3-mini, charging at least $92.40 per user/month ensures an 80%+ software gross margin.