At 20 requests/user/day (totaling 600,000 queries/mo), running Content generation on Pixtral Large costs $5,020.80 / month ($5.021 / user / mo).
Content generation for a 1,000 active users (seed stage saas) audience means 20,000 requests per day on average, each carrying 800 input and 1,200 output tokens at a 30% cacheable share — so the effective per-request cost on Pixtral Large is $0.008368, of which $259.20/mo comes back from prompt caching. Per active user that's $5.021/mo — the number to hold against your pricing tier and gross margin. Charging at least $25.104/user/mo keeps gross margin at or above 80%.
Quick answer
For 1,000 Active Users, Content generation on Pixtral Large is modeled at 600,000 requests per month, costing $5,020.80 per month or $5.021 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 1,000 Active Users generating 600,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 30% cache hits on prompt context.
| Model | Provider | Monthly Spend (1,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Pixtral Large (Current) | mistral | $5,020.80 | $5.021 | $60,249.60 | 128,000 |
| GPT-5.6 Sol | openai | $23,352.00 | $23.352 | $280,224.00 | 1,050,000 |
| GPT-5.6 Cyber | openai | $58,380.00 | $58.38 | $700,560.00 | 1,050,000 |
| GPT-5.5 Standard | openai | $23,352.00 | $23.352 | $280,224.00 | 512,000 |
| GPT-5.5 Pro | openai | $140,112.00 | $140.112 | $1,681,344.00 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $64,608.00 | $64.608 | $775,296.00 | 1,000,000 |
At 20 queries per user/day with Pixtral Large, the estimated cost is $5.021 per monthly active user (MAU). Total monthly bill for 1,000 Active Users is $5,020.80.
Assuming a 30% cache hit rate on repeated system and context tokens, prompt caching saves $259.20 per month ($3,110.40/year) on Pixtral Large.
With a direct COGS of $5.021 per user/month on Pixtral Large, charging at least $25.104 per user/month ensures an 80%+ software gross margin.