Simulating realistic Customer support chatbot parameters (3,500 in / 350 out with 70% cache reuse). Qwen 2.5 Coder 32B delivers a 33% cost reduction over Codestral 2501.
| Traffic Volume Tier | Qwen 2.5 Coder 32B Monthly | Codestral 2501 Monthly | Monthly Savings by picking Qwen 2.5 Coder 32B |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $0.469 | $0.7035 | Save $0.2345 / mo |
| 10,000 reqs/mo (Small App) | $4.69 | $7.035 | Save $2.345 / mo |
| 100,000 reqs/mo (Growth Production) | $46.90 | $70.35 | Save $23.45 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $469.00 | $703.50 | Save $234.50 / mo |
Qwen 2.5 Coder 32B is 33% cheaper for Customer support chatbot workloads. At standard Customer support chatbot parameter ratios (3,500 input tokens, 350 output tokens, 70% cache hit), Qwen 2.5 Coder 32B costs $0.000469 per request compared to $0.000703 on Codestral 2501.
Qwen 2.5 Coder 32B offers a context window of 128,000 tokens (max output: 8,192), while Codestral 2501 offers 256,000 tokens (max output: 8,192).
At 100,000 requests per month, using Qwen 2.5 Coder 32B saves $23.45 every month (or $281.40 annually) compared to Codestral 2501.
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.