At 15 requests/user/day (totaling 22,500,000 queries/mo), running Translation on Microsoft Phi-4 (14B) costs $48,375.00 / month ($0.9675 / user / mo).
Total expected API invoice for 50,000 Active Users generating 22,500,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 15% cache hits on prompt context.
| Model | Provider | Monthly Spend (50,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Microsoft Phi-4 (14B) (Current) | microsoft | $48,375.00 | $0.9675 | $580,500.00 | 16,384 |
| GPT-5.6 Luna | openai | $167,962.50 | $3.359 | $2,015,550.00 | 1,050,000 |
| GPT-5.4 mini | openai | $629,859.375 | $12.597 | $7,558,312.50 | 256,000 |
| GPT-5.4 nano | openai | $174,150.00 | $3.483 | $2,089,800.00 | 128,000 |
| GPT-4o mini | openai | $89,859.375 | $1.797 | $1,078,312.50 | 128,000 |
| Claude Haiku 4.5 | anthropic | $716,062.50 | $14.321 | $8,592,750.00 | 1,000,000 |
At 15 queries per user/day with Microsoft Phi-4 (14B), the estimated cost is $0.9675 per monthly active user (MAU). Total monthly bill for 50,000 Active Users is $48,375.00.
Assuming a 15% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on Microsoft Phi-4 (14B).
With a direct COGS of $0.9675 per user/month on Microsoft Phi-4 (14B), charging at least $4.837 per user/month ensures an 80%+ software gross margin.