At 200 requests/user/day (totaling 300,000,000 queries/mo), running Data extraction & tagging on GPT-5.3 Codex costs $1,911,000.00 / month ($38.22 / user / mo).
Total expected API invoice for 50,000 Active Users generating 300,000,000 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 (50,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| GPT-5.3 Codex (Current) | openai | $1,911,000.00 | $38.22 | $22,932,000.00 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $89,880.00 | $1.798 | $1,078,560.00 | 128,000 |
| Codestral 2501 | mistral | $215,100.00 | $4.302 | $2,581,200.00 | 256,000 |
| Grok Build 0.1 | xai | $654,000.00 | $13.08 | $7,848,000.00 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $143,400.00 | $2.868 | $1,720,800.00 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $66,000.00 | $1.32 | $792,000.00 | 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 50,000 Active Users is $1,911,000.00.
Assuming a 20% cache hit rate on repeated system and context tokens, prompt caching saves $189,000.00 per month ($2,268,000.00/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.