Simulating realistic RAG / search-augmented answers parameters (8,000 in / 500 out with 50% cache reuse). Amazon Nova Pro delivers a 91% cost reduction over o3 (Reasoning Frontier).
| Traffic Volume Tier | o3 (Reasoning Frontier) Monthly | Amazon Nova Pro Monthly | Monthly Savings by picking Amazon Nova Pro |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $64.00 | $5.60 | Save $58.40 / mo |
| 10,000 reqs/mo (Small App) | $640.00 | $56.00 | Save $584.00 / mo |
| 100,000 reqs/mo (Growth Production) | $6,400.00 | $560.00 | Save $5,840.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $64,000.00 | $5,600.00 | Save $58,400.00 / mo |
Amazon Nova Pro is 91% cheaper for RAG / search-augmented answers workloads. At standard RAG / search-augmented answers parameter ratios (8,000 input tokens, 500 output tokens, 50% cache hit), Amazon Nova Pro costs $0.0056 per request compared to $0.064 on o3 (Reasoning Frontier).
o3 (Reasoning Frontier) offers a context window of 1,050,000 tokens (max output: 128,000), while Amazon Nova Pro offers 300,000 tokens (max output: 5,000).
At 100,000 requests per month, using Amazon Nova Pro saves $5,840.00 every month (or $70,080.00 annually) compared to o3 (Reasoning Frontier).
retrieved-context dominates cost — tune top-k and chunk size before switching models. Re-rank and drop marginal chunks; halving context roughly halves input cost. Deduplicate repeated chunks across queries to raise the cache hit rate.