At 15 requests/user/day (totaling 225,000 queries/mo), running Translation on Fireworks AI — Llama 4 Scout costs $565.313 / month ($1.131 / user / mo).
Translation for a 500 active users (early growth) audience means 7,500 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 Fireworks AI — Llama 4 Scout is $0.002513, of which $15.187/mo comes back from prompt caching. Per active user that's $1.131/mo — the number to hold against your pricing tier and gross margin. Charging at least $5.653/user/mo keeps gross margin at or above 80%.
Quick answer
For 500 Active Users, Translation on Fireworks AI — Llama 4 Scout is modeled at 225,000 requests per month, costing $565.313 per month or $1.131 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 500 Active Users generating 225,000 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 (500 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Fireworks AI — Llama 4 Scout (Current) | fireworks | $565.313 | $1.131 | $6,783.75 | 10,000,000 |
| GPT-5.6 Terra | openai | $16,796.25 | $33.593 | $201,555.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $20,995.313 | $41.991 | $251,943.75 | 256,000 |
| o3-mini | openai | $6,589.688 | $13.179 | $79,076.25 | 200,000 |
| o4-mini | openai | $6,543.281 | $13.087 | $78,519.375 | 256,000 |
| o1-mini | openai | $6,589.688 | $13.179 | $79,076.25 | 128,000 |
At 15 queries per user/day with Fireworks AI — Llama 4 Scout, the estimated cost is $1.131 per monthly active user (MAU). Total monthly bill for 500 Active Users is $565.313.
Assuming a 15% cache hit rate on repeated system and context tokens, prompt caching saves $15.187 per month ($182.25/year) on Fireworks AI — Llama 4 Scout.
With a direct COGS of $1.131 per user/month on Fireworks AI — Llama 4 Scout, charging at least $5.653 per user/month ensures an 80%+ software gross margin.