At 200 requests/user/day (totaling 300,000 queries/mo), running Data extraction & tagging on GLM 4.7 (Zhipu) costs $1,313.25 / month ($26.265 / 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 |
|---|---|---|---|---|---|
| GLM 4.7 (Zhipu) (Current) | zai | $1,313.25 | $26.265 | $15,759.00 | 128,000 |
| 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 GLM 4.7 (Zhipu), the estimated cost is $26.265 per monthly active user (MAU). Total monthly bill for 50 Active Users is $1,313.25.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $243.00 per month ($2,916.00/year) on GLM 4.7 (Zhipu).
With a direct COGS of $26.265 per user/month on GLM 4.7 (Zhipu), charging at least $131.325 per user/month ensures an 80%+ software gross margin.