At 200 requests/user/day (totaling 60,000,000 queries/mo), running Data extraction & tagging on GPT-5.3 Codex costs $382,200.00 / month ($38.22 / user / mo).
Total expected API invoice for 10,000 Active Users generating 60,000,000 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 (10,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| GPT-5.3 Codex (Current) | openai | $382,200.00 | $38.22 | $4,586,400.00 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $17,976.00 | $1.798 | $215,712.00 | 128,000 |
| Codestral 2501 | mistral | $43,020.00 | $4.302 | $516,240.00 | 256,000 |
| Grok Build 0.1 | xai | $130,800.00 | $13.08 | $1,569,600.00 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $28,680.00 | $2.868 | $344,160.00 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $13,200.00 | $1.32 | $158,400.00 | 128,000 |
At 200 queries per user/day with GPT-5.3 Codex, the estimated cost is $38.22 per monthly active user (MAU). Total monthly bill for 10,000 Active Users is $382,200.00.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $37,800.00 per month ($453,600.00/year) on GPT-5.3 Codex.
With a direct COGS of $38.22 per user/month on GPT-5.3 Codex, charging at least $191.10 per user/month ensures an 80%+ software gross margin.