At 40 requests/user/day (totaling 3,000,000 queries/mo), running AI coding assistant on Llama 3.2 90B Vision costs $37,800.00 / month ($15.12 / user / mo).
Total expected API invoice for 2,500 Active Users generating 3,000,000 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 (2,500 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Llama 3.2 90B Vision (Current) | meta | $37,800.00 | $15.12 | $453,600.00 | 128,000 |
| GPT-5.6 Sol | openai | $262,800.00 | $105.12 | $3,153,600.00 | 1,050,000 |
| GPT-5.6 Cyber | openai | $657,000.00 | $262.80 | $7,884,000.00 | 1,050,000 |
| GPT-5.5 Standard | openai | $262,800.00 | $105.12 | $3,153,600.00 | 512,000 |
| GPT-5.5 Pro | openai | $1,576,800.00 | $630.72 | $18,921,600.00 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $811,200.00 | $324.48 | $9,734,400.00 | 1,000,000 |
At 40 queries per user/day with Llama 3.2 90B Vision, the estimated cost is $15.12 per monthly active user (MAU). Total monthly bill for 2,500 Active Users is $37,800.00.
Assuming a 60% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on Llama 3.2 90B Vision.
With a direct COGS of $15.12 per user/month on Llama 3.2 90B Vision, charging at least $75.60 per user/month ensures an 80%+ software gross margin.