At 200 requests/user/day (totaling 60,000 queries/mo), running Data extraction & tagging on Gemini 3.1 Pro costs $376.80 / month ($37.68 / user / mo).
Total expected API invoice for 10 Active Users generating 60,000 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 (10 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Gemini 3.1 Pro (Current) | $376.80 | $37.68 | $4,521.60 | 2,000,000 | |
| GPT-5.6 Sol | openai | $942.00 | $94.20 | $11,304.00 | 1,050,000 |
| GPT-5.6 Cyber | openai | $2,355.00 | $235.50 | $28,260.00 | 1,050,000 |
| GPT-5.5 Standard | openai | $942.00 | $94.20 | $11,304.00 | 512,000 |
| GPT-5.5 Pro | openai | $5,652.00 | $565.20 | $67,824.00 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $3,168.00 | $316.80 | $38,016.00 | 1,000,000 |
At 200 queries per user/day with Gemini 3.1 Pro, the estimated cost is $37.68 per monthly active user (MAU). Total monthly bill for 10 Active Users is $376.80.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $43.20 per month ($518.40/year) on Gemini 3.1 Pro.
With a direct COGS of $37.68 per user/month on Gemini 3.1 Pro, charging at least $188.40 per user/month ensures an 80%+ software gross margin.