At 200 requests/user/day (totaling 60,000 queries/mo), running Data extraction & tagging on Microsoft Phi-3.5 MoE costs $27.00 / month ($2.70 / 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 |
|---|---|---|---|---|---|
| Microsoft Phi-3.5 MoE (Current) | microsoft | $27.00 | $2.70 | $324.00 | 128,000 |
| GPT-5.6 Luna | openai | $37.68 | $3.768 | $452.16 | 1,050,000 |
| GPT-5.4 mini | openai | $141.30 | $14.13 | $1,695.60 | 256,000 |
| GPT-5.4 nano | openai | $38.43 | $3.843 | $461.16 | 128,000 |
| GPT-4o mini | openai | $25.20 | $2.52 | $302.40 | 128,000 |
| Claude Haiku 4.5 | anthropic | $173.40 | $17.34 | $2,080.80 | 1,000,000 |
At 200 queries per user/day with Microsoft Phi-3.5 MoE, the estimated cost is $2.70 per monthly active user (MAU). Total monthly bill for 10 Active Users is $27.00.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on Microsoft Phi-3.5 MoE.
With a direct COGS of $2.70 per user/month on Microsoft Phi-3.5 MoE, charging at least $13.50 per user/month ensures an 80%+ software gross margin.