At 15 requests/user/day (totaling 4,500 queries/mo), running Translation on NVIDIA Llama 3.1 Nemotron 70B costs $25.20 / month ($2.52 / user / mo).
Translation for a 10 active users (alpha / internal testing) audience means 150 requests per day on average, each carrying 5,000 input and 5,500 output tokens at a 15% cacheable share — so the effective per-request cost on NVIDIA Llama 3.1 Nemotron 70B is $0.0056, of which $0.00/mo comes back from prompt caching. Per active user that's $2.52/mo — the number to hold against your pricing tier and gross margin. Charging at least $12.60/user/mo keeps gross margin at or above 80%.
Quick answer
For 10 Active Users, Translation on NVIDIA Llama 3.1 Nemotron 70B is modeled at 4,500 requests per month, costing $25.20 per month or $2.52 per active user.
Method & trust
This projection combines the selected active-user tier, requests per user per day, input/output tokens per request, and the modeled cache share. It is an operating estimate, not a provider invoice; production traffic and retries should be measured against it.
Total expected API invoice for 10 Active Users generating 4,500 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 (10 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| NVIDIA Llama 3.1 Nemotron 70B (Current) | nvidia | $25.20 | $2.52 | $302.40 | 128,000 |
| GPT-5.6 Terra | openai | $335.925 | $33.593 | $4,031.10 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $419.906 | $41.991 | $5,038.875 | 256,000 |
| o3-mini | openai | $131.794 | $13.179 | $1,581.525 | 200,000 |
| o4-mini | openai | $130.866 | $13.087 | $1,570.387 | 256,000 |
| o1-mini | openai | $131.794 | $13.179 | $1,581.525 | 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 10 Active Users is $25.20.
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.