At 20 requests/user/day (totaling 6,000 queries/mo), running Content generation on GPT-5.3 Codex costs $106.932 / month ($10.693 / user / mo).
Total expected API invoice for 10 Active Users generating 6,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 30% cache hits on prompt context.
| Model | Provider | Monthly Spend (10 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| GPT-5.3 Codex (Current) | openai | $106.932 | $10.693 | $1,283.184 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $2.507 | $0.2507 | $30.079 | 128,000 |
| Codestral 2501 | mistral | $7.531 | $0.7531 | $90.374 | 256,000 |
| Grok Build 0.1 | xai | $18.048 | $1.805 | $216.576 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $5.021 | $0.5021 | $60.25 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $2.112 | $0.2112 | $25.344 | 128,000 |
At 20 queries per user/day with GPT-5.3 Codex, the estimated cost is $10.693 per monthly active user (MAU). Total monthly bill for 10 Active Users is $106.932.
Assuming a 30% cache hit rate on repeated system and context tokens, prompt caching saves $2.268 per month ($27.216/year) on GPT-5.3 Codex.
With a direct COGS of $10.693 per user/month on GPT-5.3 Codex, charging at least $53.466 per user/month ensures an 80%+ software gross margin.