At 8 requests/user/day (totaling 240,000 queries/mo), running Agentic workflow on MiniMax-01 (4M Context) costs $1,317.60 / month ($1.318 / user / mo).
Total expected API invoice for 1,000 Active Users generating 240,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 65% cache hits on prompt context.
| Model | Provider | Monthly Spend (1,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| MiniMax-01 (4M Context) (Current) | minimax | $1,317.60 | $1.318 | $15,811.20 | 4,000,000 |
| GPT-5.6 Terra | openai | $12,288.00 | $12.288 | $147,456.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $15,360.00 | $15.36 | $184,320.00 | 256,000 |
| o3-mini | openai | $8,712.00 | $8.712 | $104,544.00 | 200,000 |
| o4-mini | openai | $6,996.00 | $6.996 | $83,952.00 | 256,000 |
| o1-mini | openai | $8,712.00 | $8.712 | $104,544.00 | 128,000 |
At 8 queries per user/day with MiniMax-01 (4M Context), the estimated cost is $1.318 per monthly active user (MAU). Total monthly bill for 1,000 Active Users is $1,317.60.
Assuming a 65% cache hit rate on repeated system and context tokens, prompt caching saves $998.40 per month ($11,980.80/year) on MiniMax-01 (4M Context).
With a direct COGS of $1.318 per user/month on MiniMax-01 (4M Context), charging at least $6.588 per user/month ensures an 80%+ software gross margin.