At 40 requests/user/day (totaling 1,200,000 queries/mo), running AI coding assistant on Gemini 2.5 Pro costs $33,900.00 / month ($33.90 / user / mo).
Total expected API invoice for 1,000 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 60% 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) | $33,900.00 | $33.90 | $406,800.00 | 1,000,000 | |
| GPT-5.6 Terra | openai | $42,048.00 | $42.048 | $504,576.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $52,560.00 | $52.56 | $630,720.00 | 256,000 |
| o3-mini | openai | $21,648.00 | $21.648 | $259,776.00 | 200,000 |
| o4-mini | openai | $19,272.00 | $19.272 | $231,264.00 | 256,000 |
| o1-mini | openai | $21,648.00 | $21.648 | $259,776.00 | 128,000 |
At 40 queries per user/day with Gemini 2.5 Pro, the estimated cost is $33.90 per monthly active user (MAU). Total monthly bill for 1,000 Active Users is $33,900.00.
Assuming a 60% cache hit rate on repeated system and context tokens, prompt caching saves $8,100.00 per month ($97,200.00/year) on Gemini 2.5 Pro.
With a direct COGS of $33.90 per user/month on Gemini 2.5 Pro, charging at least $169.50 per user/month ensures an 80%+ software gross margin.