At 200 requests/user/day (totaling 600,000,000 queries/mo), running Data extraction & tagging on Cerebras — Qwen 3 32B costs $600,000.00 / month ($6.00 / user / mo).
Total expected API invoice for 100,000 Active Users generating 600,000,000 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 (100,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Cerebras — Qwen 3 32B (Current) | cerebras | $600,000.00 | $6.00 | $7,200,000.00 | 128,000 |
| GPT-5.6 Luna | openai | $376,800.00 | $3.768 | $4,521,600.00 | 1,050,000 |
| GPT-5.4 mini | openai | $1,413,000.00 | $14.13 | $16,956,000.00 | 256,000 |
| GPT-5.4 nano | openai | $384,300.00 | $3.843 | $4,611,600.00 | 128,000 |
| GPT-4o mini | openai | $252,000.00 | $2.52 | $3,024,000.00 | 128,000 |
| Claude Haiku 4.5 | anthropic | $1,734,000.00 | $17.34 | $20,808,000.00 | 1,000,000 |
At 200 queries per user/day with Cerebras — Qwen 3 32B, the estimated cost is $6.00 per monthly active user (MAU). Total monthly bill for 100,000 Active Users is $600,000.00.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on Cerebras — Qwen 3 32B.
With a direct COGS of $6.00 per user/month on Cerebras — Qwen 3 32B, charging at least $30.00 per user/month ensures an 80%+ software gross margin.