At 200 requests/user/day (totaling 6,000,000 queries/mo), running Data extraction & tagging on Llama 3.2 11B Vision costs $2,160.00 / month ($2.16 / user / mo).
Total expected API invoice for 1,000 Active Users generating 6,000,000 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 (1,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Llama 3.2 11B Vision (Current) | meta | $2,160.00 | $2.16 | $25,920.00 | 128,000 |
| GPT-5.6 Luna | openai | $3,768.00 | $3.768 | $45,216.00 | 1,050,000 |
| GPT-5.4 mini | openai | $14,130.00 | $14.13 | $169,560.00 | 256,000 |
| GPT-5.4 nano | openai | $3,843.00 | $3.843 | $46,116.00 | 128,000 |
| GPT-4o mini | openai | $2,520.00 | $2.52 | $30,240.00 | 128,000 |
| Claude Haiku 4.5 | anthropic | $17,340.00 | $17.34 | $208,080.00 | 1,000,000 |
At 200 queries per user/day with Llama 3.2 11B Vision, the estimated cost is $2.16 per monthly active user (MAU). Total monthly bill for 1,000 Active Users is $2,160.00.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on Llama 3.2 11B Vision.
With a direct COGS of $2.16 per user/month on Llama 3.2 11B Vision, charging at least $10.80 per user/month ensures an 80%+ software gross margin.