At 15 requests/user/day (totaling 22,500 queries/mo), running Translation on NVIDIA Llama 3.1 Nemotron 70B costs $126.00 / month ($2.52 / user / mo).
Total expected API invoice for 50 Active Users generating 22,500 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 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| NVIDIA Llama 3.1 Nemotron 70B (Current) | nvidia | $126.00 | $2.52 | $1,512.00 | 128,000 |
| GPT-5.6 Terra | openai | $1,679.625 | $33.593 | $20,155.50 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $2,099.531 | $41.991 | $25,194.375 | 256,000 |
| o3-mini | openai | $658.969 | $13.179 | $7,907.625 | 200,000 |
| o4-mini | openai | $654.328 | $13.087 | $7,851.938 | 256,000 |
| o1-mini | openai | $658.969 | $13.179 | $7,907.625 | 128,000 |
At 15 queries per user/day with NVIDIA Llama 3.1 Nemotron 70B, the estimated cost is $2.52 per monthly active user (MAU). Total monthly bill for 50 Active Users is $126.00.
Assuming a 15% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on NVIDIA Llama 3.1 Nemotron 70B.
With a direct COGS of $2.52 per user/month on NVIDIA Llama 3.1 Nemotron 70B, charging at least $12.60 per user/month ensures an 80%+ software gross margin.