Simulating realistic Customer support chatbot parameters (3,500 in / 350 out with 70% cache reuse). Cohere Command A+ delivers a 60% cost reduction over GPT-5.6 Sol.
| Traffic Volume Tier | Cohere Command A+ Monthly | GPT-5.6 Sol Monthly | Monthly Savings by picking Cohere Command A+ |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $6.738 | $16.975 | Save $10.238 / mo |
| 10,000 reqs/mo (Small App) | $67.375 | $169.75 | Save $102.375 / mo |
| 100,000 reqs/mo (Growth Production) | $673.75 | $1,697.50 | Save $1,023.75 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $6,737.50 | $16,975.00 | Save $10,237.50 / mo |
Cohere Command A+ is 60% cheaper for Customer support chatbot workloads. At standard Customer support chatbot parameter ratios (3,500 input tokens, 350 output tokens, 70% cache hit), Cohere Command A+ costs $0.006738 per request compared to $0.017 on GPT-5.6 Sol.
Cohere Command A+ offers a context window of 128,000 tokens (max output: 8,192), while GPT-5.6 Sol offers 1,050,000 tokens (max output: 128,000).
At 100,000 requests per month, using Cohere Command A+ saves $1,023.75 every month (or $12,285.00 annually) compared to GPT-5.6 Sol.
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.