At 40 requests/user/day (totaling 12,000,000 queries/mo), running AI coding assistant on Pixtral Large costs $276,480.00 / month ($27.648 / user / mo).
AI coding assistant for a 10,000 active users (scale-up saas) audience means 400,000 requests per day on average, each carrying 12,000 input and 2,000 output tokens at a 60% cacheable share — so the effective per-request cost on Pixtral Large is $0.023, of which $155,520.00/mo comes back from prompt caching. Per active user that's $27.648/mo — the number to hold against your pricing tier and gross margin. Charging at least $138.24/user/mo keeps gross margin at or above 80%.
Quick answer
For 10,000 Active Users, AI coding assistant on Pixtral Large is modeled at 12,000,000 requests per month, costing $276,480.00 per month or $27.648 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 10,000 Active Users generating 12,000,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 60% cache hits on prompt context.
| Model | Provider | Monthly Spend (10,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Pixtral Large (Current) | mistral | $276,480.00 | $27.648 | $3,317,760.00 | 128,000 |
| GPT-5.6 Sol | openai | $1,051,200.00 | $105.12 | $12,614,400.00 | 1,050,000 |
| GPT-5.6 Cyber | openai | $2,628,000.00 | $262.80 | $31,536,000.00 | 1,050,000 |
| GPT-5.5 Standard | openai | $1,051,200.00 | $105.12 | $12,614,400.00 | 512,000 |
| GPT-5.5 Pro | openai | $6,307,200.00 | $630.72 | $75,686,400.00 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $3,244,800.00 | $324.48 | $38,937,600.00 | 1,000,000 |
At 40 queries per user/day with Pixtral Large, the estimated cost is $27.648 per monthly active user (MAU). Total monthly bill for 10,000 Active Users is $276,480.00.
Assuming a 60% cache hit rate on repeated system and context tokens, prompt caching saves $155,520.00 per month ($1,866,240.00/year) on Pixtral Large.
With a direct COGS of $27.648 per user/month on Pixtral Large, charging at least $138.24 per user/month ensures an 80%+ software gross margin.