At 200 requests/user/day (totaling 6,000,000 queries/mo), running Data extraction & tagging on Gemini 2.5 Pro costs $27,750.00 / month ($27.75 / user / mo).
Total expected API invoice for 1,000 Active Users generating 6,000,000 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 (1,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Gemini 2.5 Pro (Current) | $27,750.00 | $27.75 | $333,000.00 | 1,000,000 | |
| GPT-5.6 Terra | openai | $37,680.00 | $37.68 | $452,160.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $47,100.00 | $47.10 | $565,200.00 | 256,000 |
| o3-mini | openai | $18,480.00 | $18.48 | $221,760.00 | 200,000 |
| o4-mini | openai | $17,820.00 | $17.82 | $213,840.00 | 256,000 |
| o1-mini | openai | $18,480.00 | $18.48 | $221,760.00 | 128,000 |
At 200 queries per user/day with Gemini 2.5 Pro, the estimated cost is $27.75 per monthly active user (MAU). Total monthly bill for 1,000 Active Users is $27,750.00.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $2,250.00 per month ($27,000.00/year) on Gemini 2.5 Pro.
With a direct COGS of $27.75 per user/month on Gemini 2.5 Pro, charging at least $138.75 per user/month ensures an 80%+ software gross margin.