At 10 requests/user/day (totaling 300,000 queries/mo), running RAG / search-augmented answers on GPT-5.3 Codex costs $4,410.00 / month ($4.41 / user / mo).
Total expected API invoice for 1,000 Active Users generating 300,000 queries.
Direct inference cost per MAU to model your SaaS pricing tiers and gross margins.
Savings generated by exploiting 50% 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 | $4,410.00 | $4.41 | $52,920.00 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $226.80 | $0.2268 | $2,721.60 | 128,000 |
| Codestral 2501 | mistral | $531.00 | $0.531 | $6,372.00 | 256,000 |
| Grok Build 0.1 | xai | $1,740.00 | $1.74 | $20,880.00 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $354.00 | $0.354 | $4,248.00 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $228.00 | $0.228 | $2,736.00 | 128,000 |
At 10 queries per user/day with GPT-5.3 Codex, the estimated cost is $4.41 per monthly active user (MAU). Total monthly bill for 1,000 Active Users is $4,410.00.
Assuming a 50% cache hit rate on repeated system and context tokens, prompt caching saves $1,890.00 per month ($22,680.00/year) on GPT-5.3 Codex.
With a direct COGS of $4.41 per user/month on GPT-5.3 Codex, charging at least $22.05 per user/month ensures an 80%+ software gross margin.