At 40 requests/user/day (totaling 60,000 queries/mo), running AI coding assistant on Qwen 3.8 Max (2.4T MoE) costs $1,382.40 / month ($27.648 / user / mo).
Total expected API invoice for 50 Active Users generating 60,000 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 (50 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Qwen 3.8 Max (2.4T MoE) (Current) | qwen | $1,382.40 | $27.648 | $16,588.80 | 256,000 |
| GPT-5.6 Sol | openai | $5,256.00 | $105.12 | $63,072.00 | 1,050,000 |
| GPT-5.6 Cyber | openai | $13,140.00 | $262.80 | $157,680.00 | 1,050,000 |
| GPT-5.5 Standard | openai | $5,256.00 | $105.12 | $63,072.00 | 512,000 |
| GPT-5.5 Pro | openai | $31,536.00 | $630.72 | $378,432.00 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $16,224.00 | $324.48 | $194,688.00 | 1,000,000 |
At 40 queries per user/day with Qwen 3.8 Max (2.4T MoE), the estimated cost is $27.648 per monthly active user (MAU). Total monthly bill for 50 Active Users is $1,382.40.
Assuming a 60% cache hit rate on repeated system and context tokens, prompt caching saves $777.60 per month ($9,331.20/year) on Qwen 3.8 Max (2.4T MoE).
With a direct COGS of $27.648 per user/month on Qwen 3.8 Max (2.4T MoE), charging at least $138.24 per user/month ensures an 80%+ software gross margin.