Simulating realistic Customer support chatbot parameters (3,500 in / 350 out with 70% cache reuse). Codestral 2501 delivers a 86% cost reduction over Grok 4.5.
| Traffic Volume Tier | Codestral 2501 Monthly | Grok 4.5 Monthly | Monthly Savings by picking Codestral 2501 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $0.7035 | $4.935 | Save $4.232 / mo |
| 10,000 reqs/mo (Small App) | $7.035 | $49.35 | Save $42.315 / mo |
| 100,000 reqs/mo (Growth Production) | $70.35 | $493.50 | Save $423.15 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $703.50 | $4,935.00 | Save $4,231.50 / mo |
Codestral 2501 is 86% cheaper for Customer support chatbot workloads. At standard Customer support chatbot parameter ratios (3,500 input tokens, 350 output tokens, 70% cache hit), Codestral 2501 costs $0.000703 per request compared to $0.004935 on Grok 4.5.
Codestral 2501 offers a context window of 256,000 tokens (max output: 8,192), while Grok 4.5 offers 500,000 tokens (max output: 64,000).
At 100,000 requests per month, using Codestral 2501 saves $423.15 every month (or $5,077.80 annually) compared to Grok 4.5.
Cache the system prompt and static documentation chunks — cached input is often 4–10× cheaper. Route simple FAQ turns to a nano-tier model and escalate only complex tickets. Cap max_output per reply; support answers rarely need more than a few hundred tokens.