At 15 requests/user/day (totaling 4,500 queries/mo), running Translation on GPT-5.3 Codex costs $380.559 / month ($38.056 / user / mo).
Total expected API invoice for 10 Active Users generating 4,500 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 15% 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 | $380.559 | $38.056 | $4,566.713 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $9.655 | $0.9655 | $115.857 | 128,000 |
| Codestral 2501 | mistral | $28.114 | $2.811 | $337.365 | 256,000 |
| Grok Build 0.1 | xai | $69.30 | $6.93 | $831.60 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $18.742 | $1.874 | $224.91 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $7.74 | $0.774 | $92.88 | 128,000 |
At 15 queries per user/day with GPT-5.3 Codex, the estimated cost is $38.056 per monthly active user (MAU). Total monthly bill for 10 Active Users is $380.559.
Assuming a 15% cache hit rate on repeated system and context tokens, prompt caching saves $5.316 per month ($63.787/year) on GPT-5.3 Codex.
With a direct COGS of $38.056 per user/month on GPT-5.3 Codex, charging at least $190.28 per user/month ensures an 80%+ software gross margin.