At 4 requests/user/day (totaling 120,000 queries/mo), running Document summarization on GPT-5.3 Codex costs $5,785.50 / month ($5.786 / user / mo).
Total expected API invoice for 1,000 Active Users generating 120,000 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 (1,000 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| GPT-5.3 Codex (Current) | openai | $5,785.50 | $5.786 | $69,426.00 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $402.36 | $0.4024 | $4,828.32 | 128,000 |
| Codestral 2501 | mistral | $883.80 | $0.8838 | $10,605.60 | 256,000 |
| Grok Build 0.1 | xai | $2,904.00 | $2.904 | $34,848.00 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $589.20 | $0.5892 | $7,070.40 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $257.28 | $0.2573 | $3,087.36 | 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 1,000 Active Users is $5,785.50.
Assuming a 10% cache hit rate on repeated system and context tokens, prompt caching saves $472.50 per month ($5,670.00/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.