At 10 requests/user/day (totaling 3,000,000 queries/mo), running RAG / search-augmented answers on Cerebras — GPT OSS 120B costs $9,525.00 / month ($0.9525 / user / mo).
Total expected API invoice for 10,000 Active Users generating 3,000,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 50% cache hits on prompt context.
| Model | Provider | Monthly Spend (10,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Cerebras — GPT OSS 120B (Current) | cerebras | $9,525.00 | $0.9525 | $114,300.00 | 128,000 |
| GPT-5.6 Terra | openai | $44,400.00 | $4.44 | $532,800.00 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $55,500.00 | $5.55 | $666,000.00 | 256,000 |
| o3-mini | openai | $26,400.00 | $2.64 | $316,800.00 | 200,000 |
| o4-mini | openai | $23,100.00 | $2.31 | $277,200.00 | 256,000 |
| o1-mini | openai | $26,400.00 | $2.64 | $316,800.00 | 128,000 |
At 10 queries per user/day with Cerebras — GPT OSS 120B, the estimated cost is $0.9525 per monthly active user (MAU). Total monthly bill for 10,000 Active Users is $9,525.00.
Assuming a 50% cache hit rate on repeated system and context tokens, prompt caching saves $0.00 per month ($0.00/year) on Cerebras — GPT OSS 120B.
With a direct COGS of $0.9525 per user/month on Cerebras — GPT OSS 120B, charging at least $4.763 per user/month ensures an 80%+ software gross margin.