At 4 requests/user/day (totaling 12,000,000 queries/mo), running Document summarization on Qwen 3 32B Instruct costs $114,960.00 / month ($1.15 / user / mo).
Total expected API invoice for 100,000 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 10% cache hits on prompt context.
| Model | Provider | Monthly Spend (100,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Qwen 3 32B Instruct (Current) | qwen | $114,960.00 | $1.15 | $1,379,520.00 | 128,000 |
| GPT-5.6 Terra | openai | $632,400.00 | $6.324 | $7,588,800.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $790,500.00 | $7.905 | $9,486,000.00 | 256,000 |
| o3-mini | openai | $345,180.00 | $3.452 | $4,142,160.00 | 200,000 |
| o4-mini | openai | $336,930.00 | $3.369 | $4,043,160.00 | 256,000 |
| o1-mini | openai | $345,180.00 | $3.452 | $4,142,160.00 | 128,000 |
At 4 queries per user/day with Qwen 3 32B Instruct, the estimated cost is $1.15 per monthly active user (MAU). Total monthly bill for 100,000 Active Users is $114,960.00.
Assuming a 10% cache hit rate on repeated system and context tokens, prompt caching saves $10,800.00 per month ($129,600.00/year) on Qwen 3 32B Instruct.
With a direct COGS of $1.15 per user/month on Qwen 3 32B Instruct, charging at least $5.748 per user/month ensures an 80%+ software gross margin.