Simulating realistic Translation parameters (5,000 in / 5,500 out with 15% cache reuse). Amazon Nova Premier delivers a 72% cost reduction over GPT-5.6 Sol.
| Traffic Volume Tier | Amazon Nova Premier Monthly | GPT-5.6 Sol Monthly | Monthly Savings by picking Amazon Nova Premier |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $52.65 | $186.625 | Save $133.975 / mo |
| 10,000 reqs/mo (Small App) | $526.50 | $1,866.25 | Save $1,339.75 / mo |
| 100,000 reqs/mo (Growth Production) | $5,265.00 | $18,662.50 | Save $13,397.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $52,650.00 | $186,625.00 | Save $133,975.00 / mo |
Amazon Nova Premier is 72% cheaper for Translation workloads. At standard Translation parameter ratios (5,000 input tokens, 5,500 output tokens, 15% cache hit), Amazon Nova Premier costs $0.0527 per request compared to $0.1866 on GPT-5.6 Sol.
Amazon Nova Premier offers a context window of 1,000,000 tokens (max output: 32,768), while GPT-5.6 Sol offers 1,050,000 tokens (max output: 128,000).
At 100,000 requests per month, using Amazon Nova Premier saves $13,397.50 every month (or $160,770.00 annually) compared to GPT-5.6 Sol.
Output length ≈ input length; budget both sides of the request. Japanese and Chinese text typically costs more per word than English due to tokenization. Cache translation memories and glossaries embedded in the prompt.