At 4 requests/user/day (totaling 1,200,000 queries/mo), running Document summarization on Gemini 2.5 Pro costs $41,887.50 / month ($4.189 / user / mo).
Total expected API invoice for 10,000 Active Users generating 1,200,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 10% cache hits on prompt context.
| Model | Provider | Monthly Spend (10,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Gemini 2.5 Pro (Current) | $41,887.50 | $4.189 | $502,650.00 | 1,000,000 | |
| GPT-5.6 Terra | openai | $63,240.00 | $6.324 | $758,880.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $79,050.00 | $7.905 | $948,600.00 | 256,000 |
| o3-mini | openai | $34,518.00 | $3.452 | $414,216.00 | 200,000 |
| o4-mini | openai | $33,693.00 | $3.369 | $404,316.00 | 256,000 |
| o1-mini | openai | $34,518.00 | $3.452 | $414,216.00 | 128,000 |
At 4 queries per user/day with Gemini 2.5 Pro, the estimated cost is $4.189 per monthly active user (MAU). Total monthly bill for 10,000 Active Users is $41,887.50.
Assuming a 10% cache hit rate on repeated system and context tokens, prompt caching saves $2,812.50 per month ($33,750.00/year) on Gemini 2.5 Pro.
With a direct COGS of $4.189 per user/month on Gemini 2.5 Pro, charging at least $20.944 per user/month ensures an 80%+ software gross margin.