At 40 requests/user/day (totaling 1,200,000 queries/mo), running AI coding assistant on GLM 4.7 (Zhipu) costs $9,686.40 / month ($9.686 / user / mo).
AI coding assistant for a 1,000 active users (seed stage saas) audience means 40,000 requests per day on average, each carrying 12,000 input and 2,000 output tokens at a 60% cacheable share — so the effective per-request cost on GLM 4.7 (Zhipu) is $0.008072, of which $4,233.60/mo comes back from prompt caching. Per active user that's $9.686/mo — the number to hold against your pricing tier and gross margin. Charging at least $48.432/user/mo keeps gross margin at or above 80%.
Quick answer
For 1,000 Active Users, AI coding assistant on GLM 4.7 (Zhipu) is modeled at 1,200,000 requests per month, costing $9,686.40 per month or $9.686 per active user.
Method & trust
This projection combines the selected active-user tier, requests per user per day, input/output tokens per request, and the modeled cache share. It is an operating estimate, not a provider invoice; production traffic and retries should be measured against it.
Total expected API invoice for 1,000 Active Users generating 1,200,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 60% cache hits on prompt context.
| Model | Provider | Monthly Spend (1,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| GLM 4.7 (Zhipu) (Current) | zai | $9,686.40 | $9.686 | $116,236.80 | 200,000 |
| GPT-5.6 Terra | openai | $42,048.00 | $42.048 | $504,576.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $52,560.00 | $52.56 | $630,720.00 | 256,000 |
| o3-mini | openai | $21,648.00 | $21.648 | $259,776.00 | 200,000 |
| o4-mini | openai | $19,272.00 | $19.272 | $231,264.00 | 256,000 |
| o1-mini | openai | $21,648.00 | $21.648 | $259,776.00 | 128,000 |
At 40 queries per user/day with GLM 4.7 (Zhipu), the estimated cost is $9.686 per monthly active user (MAU). Total monthly bill for 1,000 Active Users is $9,686.40.
Assuming a 60% cache hit rate on repeated system and context tokens, prompt caching saves $4,233.60 per month ($50,803.20/year) on GLM 4.7 (Zhipu).
With a direct COGS of $9.686 per user/month on GLM 4.7 (Zhipu), charging at least $48.432 per user/month ensures an 80%+ software gross margin.