At 20 requests/user/day (totaling 300,000 queries/mo), running Content generation on GPT-5.3 Codex costs $5,346.60 / month ($10.693 / user / mo).
Total expected API invoice for 500 Active Users generating 300,000 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 (500 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| GPT-5.3 Codex (Current) | openai | $5,346.60 | $10.693 | $64,159.20 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $125.328 | $0.2507 | $1,503.936 | 128,000 |
| Codestral 2501 | mistral | $376.56 | $0.7531 | $4,518.72 | 256,000 |
| Grok Build 0.1 | xai | $902.40 | $1.805 | $10,828.80 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $251.04 | $0.5021 | $3,012.48 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $105.60 | $0.2112 | $1,267.20 | 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 500 Active Users is $5,346.60.
Assuming a 30% cache hit rate on repeated system and context tokens, prompt caching saves $113.40 per month ($1,360.80/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.