At 200 requests/user/day (totaling 60,000 queries/mo), running Data extraction & tagging on GLM 4.7 (Zhipu) costs $262.65 / month ($26.265 / user / mo).
Total expected API invoice for 10 Active Users generating 60,000 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 (10 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| GLM 4.7 (Zhipu) (Current) | zai | $262.65 | $26.265 | $3,151.80 | 128,000 |
| GPT-5.6 Terra | openai | $376.80 | $37.68 | $4,521.60 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $471.00 | $47.10 | $5,652.00 | 256,000 |
| o3-mini | openai | $184.80 | $18.48 | $2,217.60 | 200,000 |
| o4-mini | openai | $178.20 | $17.82 | $2,138.40 | 256,000 |
| o1-mini | openai | $184.80 | $18.48 | $2,217.60 | 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 10 Active Users is $262.65.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $48.60 per month ($583.20/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.