At 10 requests/user/day (totaling 30,000 queries/mo), running RAG / search-augmented answers on Codestral 2501 costs $53.10 / month ($0.531 / user / mo).
Total expected API invoice for 100 Active Users generating 30,000 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 (100 Active Users) | Cost / User / Mo | Annual Spend | Context Limit |
|---|---|---|---|---|---|
| Codestral 2501 (Current) | mistral | $53.10 | $0.531 | $637.20 | 256,000 |
| GPT-5.3 Codex | openai | $441.00 | $4.41 | $5,292.00 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $22.68 | $0.2268 | $272.16 | 128,000 |
| Grok Build 0.1 | xai | $174.00 | $1.74 | $2,088.00 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $35.40 | $0.354 | $424.80 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $22.80 | $0.228 | $273.60 | 128,000 |
At 10 queries per user/day with Codestral 2501, the estimated cost is $0.531 per monthly active user (MAU). Total monthly bill for 100 Active Users is $53.10.
Assuming a 50% cache hit rate on repeated system and context tokens, prompt caching saves $32.40 per month ($388.80/year) on Codestral 2501.
With a direct COGS of $0.531 per user/month on Codestral 2501, charging at least $2.655 per user/month ensures an 80%+ software gross margin.