At 4 requests/user/day (totaling 6,000,000 queries/mo), running Document summarization on Kimi K3 (Moonshot) costs $463,500.00 / month ($9.27 / user / mo).
Total expected API invoice for 50,000 Active Users generating 6,000,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 10% cache hits on prompt context.
| Model | Provider | Monthly Spend (50,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Kimi K3 (Moonshot) (Current) | moonshot | $463,500.00 | $9.27 | $5,562,000.00 | 1,000,000 |
| GPT-5.6 Sol | openai | $790,500.00 | $15.81 | $9,486,000.00 | 1,050,000 |
| GPT-5.6 Cyber | openai | $1,976,250.00 | $39.525 | $23,715,000.00 | 1,050,000 |
| GPT-5.5 Standard | openai | $790,500.00 | $15.81 | $9,486,000.00 | 512,000 |
| GPT-5.5 Pro | openai | $4,743,000.00 | $94.86 | $56,916,000.00 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $3,018,000.00 | $60.36 | $36,216,000.00 | 1,000,000 |
At 4 queries per user/day with Kimi K3 (Moonshot), the estimated cost is $9.27 per monthly active user (MAU). Total monthly bill for 50,000 Active Users is $463,500.00.
Assuming a 10% cache hit rate on repeated system and context tokens, prompt caching saves $40,500.00 per month ($486,000.00/year) on Kimi K3 (Moonshot).
With a direct COGS of $9.27 per user/month on Kimi K3 (Moonshot), charging at least $46.35 per user/month ensures an 80%+ software gross margin.