At 200 requests/user/day (totaling 300,000,000 queries/mo), running Data extraction & tagging on Mistral Large 3 costs $358,500.00 / month ($7.17 / user / mo).
Total expected API invoice for 50,000 Active Users generating 300,000,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 20% cache hits on prompt context.
| Model | Provider | Monthly Spend (50,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Mistral Large 3 (Current) | mistral | $358,500.00 | $7.17 | $4,302,000.00 | 1,000,000 |
| GPT-5.6 Sol | openai | $4,710,000.00 | $94.20 | $56,520,000.00 | 1,050,000 |
| GPT-5.6 Cyber | openai | $11,775,000.00 | $235.50 | $141,300,000.00 | 1,050,000 |
| GPT-5.5 Standard | openai | $4,710,000.00 | $94.20 | $56,520,000.00 | 512,000 |
| GPT-5.5 Pro | openai | $28,260,000.00 | $565.20 | $339,120,000.00 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $15,840,000.00 | $316.80 | $190,080,000.00 | 1,000,000 |
At 200 queries per user/day with Mistral Large 3, the estimated cost is $7.17 per monthly active user (MAU). Total monthly bill for 50,000 Active Users is $358,500.00.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $54,000.00 per month ($648,000.00/year) on Mistral Large 3.
With a direct COGS of $7.17 per user/month on Mistral Large 3, charging at least $35.85 per user/month ensures an 80%+ software gross margin.