At 8 requests/user/day (totaling 2,400 queries/mo), running Agentic workflow on GPT-5.3 Codex costs $120.12 / month ($12.012 / user / mo).
Total expected API invoice for 10 Active Users generating 2,400 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 65% 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 | $120.12 | $12.012 | $1,441.44 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $6.586 | $0.6586 | $79.027 | 128,000 |
| Codestral 2501 | mistral | $15.192 | $1.519 | $182.304 | 256,000 |
| Grok Build 0.1 | xai | $53.28 | $5.328 | $639.36 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $10.128 | $1.013 | $121.536 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $8.544 | $0.8544 | $102.528 | 128,000 |
At 8 queries per user/day with GPT-5.3 Codex, the estimated cost is $12.012 per monthly active user (MAU). Total monthly bill for 10 Active Users is $120.12.
Assuming a 65% cache hit rate on repeated system and context tokens, prompt caching saves $98.28 per month ($1,179.36/year) on GPT-5.3 Codex.
With a direct COGS of $12.012 per user/month on GPT-5.3 Codex, charging at least $60.06 per user/month ensures an 80%+ software gross margin.