Simulating realistic Customer support chatbot parameters (3,500 in / 350 out with 70% cache reuse). Mistral Medium 3.5 delivers a 32% cost reduction over Cohere Command A+.
| Traffic Volume Tier | Mistral Medium 3.5 Monthly | Cohere Command A+ Monthly | Monthly Savings by picking Mistral Medium 3.5 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $4.568 | $6.738 | Save $2.17 / mo |
| 10,000 reqs/mo (Small App) | $45.675 | $67.375 | Save $21.70 / mo |
| 100,000 reqs/mo (Growth Production) | $456.75 | $673.75 | Save $217.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $4,567.50 | $6,737.50 | Save $2,170.00 / mo |
Mistral Medium 3.5 is 32% cheaper for Customer support chatbot workloads. At standard Customer support chatbot parameter ratios (3,500 input tokens, 350 output tokens, 70% cache hit), Mistral Medium 3.5 costs $0.004568 per request compared to $0.006738 on Cohere Command A+.
Mistral Medium 3.5 offers a context window of 256,000 tokens (max output: 32,768), while Cohere Command A+ offers 128,000 tokens (max output: 8,192).
At 100,000 requests per month, using Mistral Medium 3.5 saves $217.00 every month (or $2,604.00 annually) compared to Cohere Command A+.
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.