At 200 requests/user/day (totaling 300,000 queries/mo), running Data extraction & tagging on MiniMax-01 (4M Context) costs $183.30 / month ($3.666 / user / mo).
Total expected API invoice for 50 Active Users generating 300,000 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 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| MiniMax-01 (4M Context) (Current) | minimax | $183.30 | $3.666 | $2,199.60 | 4,000,000 |
| GPT-5.6 Terra | openai | $1,884.00 | $37.68 | $22,608.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $2,355.00 | $47.10 | $28,260.00 | 256,000 |
| o3-mini | openai | $924.00 | $18.48 | $11,088.00 | 200,000 |
| o4-mini | openai | $891.00 | $17.82 | $10,692.00 | 256,000 |
| o1-mini | openai | $924.00 | $18.48 | $11,088.00 | 128,000 |
At 200 queries per user/day with MiniMax-01 (4M Context), the estimated cost is $3.666 per monthly active user (MAU). Total monthly bill for 50 Active Users is $183.30.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $19.20 per month ($230.40/year) on MiniMax-01 (4M Context).
With a direct COGS of $3.666 per user/month on MiniMax-01 (4M Context), charging at least $18.33 per user/month ensures an 80%+ software gross margin.