Simulating realistic Customer support chatbot parameters (3,500 in / 350 out with 70% cache reuse). Amazon Nova Pro delivers a 86% cost reduction over GPT-5.5 Standard.
| Traffic Volume Tier | GPT-5.5 Standard Monthly | Amazon Nova Pro Monthly | Monthly Savings by picking Amazon Nova Pro |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $16.975 | $2.45 | Save $14.525 / mo |
| 10,000 reqs/mo (Small App) | $169.75 | $24.50 | Save $145.25 / mo |
| 100,000 reqs/mo (Growth Production) | $1,697.50 | $245.00 | Save $1,452.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $16,975.00 | $2,450.00 | Save $14,525.00 / mo |
Amazon Nova Pro 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), Amazon Nova Pro costs $0.00245 per request compared to $0.017 on GPT-5.5 Standard.
GPT-5.5 Standard offers a context window of 512,000 tokens (max output: 64,000), while Amazon Nova Pro offers 300,000 tokens (max output: 5,000).
At 100,000 requests per month, using Amazon Nova Pro saves $1,452.50 every month (or $17,430.00 annually) compared to GPT-5.5 Standard.
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.