Simulating realistic Content generation parameters (800 in / 1,200 out with 30% cache reuse). DeepSeek V4 Pro delivers a 49% cost reduction over Amazon Nova Premier.
| Traffic Volume Tier | DeepSeek V4 Pro Monthly | Amazon Nova Premier Monthly | Monthly Savings by picking DeepSeek V4 Pro |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $5.502 | $10.768 | Save $5.266 / mo |
| 10,000 reqs/mo (Small App) | $55.018 | $107.68 | Save $52.662 / mo |
| 100,000 reqs/mo (Growth Production) | $550.176 | $1,076.80 | Save $526.624 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $5,501.76 | $10,768.00 | Save $5,266.24 / mo |
DeepSeek V4 Pro is 49% cheaper for Content generation workloads. At standard Content generation parameter ratios (800 input tokens, 1,200 output tokens, 30% cache hit), DeepSeek V4 Pro costs $0.005502 per request compared to $0.0108 on Amazon Nova Premier.
DeepSeek V4 Pro offers a context window of 1,000,000 tokens (max output: 384,000), while Amazon Nova Premier offers 1,000,000 tokens (max output: 32,768).
At 100,000 requests per month, using DeepSeek V4 Pro saves $526.624 every month (or $6,319.488 annually) compared to Amazon Nova Premier.
Output-heavy workloads favor models with a low output price, not a low input price. Batch similar generation tasks with shared style prompts to exploit caching. Draft with a cheap tier, refine the winners with a premium model.