At 4 requests/user/day (totaling 6,000 queries/mo), running Document summarization on GPT-5.3 Codex costs $289.275 / month ($5.786 / user / mo).
Total expected API invoice for 50 Active Users generating 6,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 10% cache hits on prompt context.
| Model | Provider | Monthly Spend (50 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| GPT-5.3 Codex (Current) | openai | $289.275 | $5.786 | $3,471.30 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $20.118 | $0.4024 | $241.416 | 128,000 |
| Codestral 2501 | mistral | $44.19 | $0.8838 | $530.28 | 256,000 |
| Grok Build 0.1 | xai | $145.20 | $2.904 | $1,742.40 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $29.46 | $0.5892 | $353.52 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $12.864 | $0.2573 | $154.368 | 128,000 |
At 4 queries per user/day with GPT-5.3 Codex, the estimated cost is $5.786 per monthly active user (MAU). Total monthly bill for 50 Active Users is $289.275.
Assuming a 10% cache hit rate on repeated system and context tokens, prompt caching saves $23.625 per month ($283.50/year) on GPT-5.3 Codex.
With a direct COGS of $5.786 per user/month on GPT-5.3 Codex, charging at least $28.928 per user/month ensures an 80%+ software gross margin.