Simulating realistic Content generation parameters (800 in / 1,200 out with 30% cache reuse). Together AI — DeepSeek V4 delivers a 49% cost reduction over Amazon Nova Pro.
| Traffic Volume Tier | Amazon Nova Pro Monthly | Together AI — DeepSeek V4 Monthly | Monthly Savings by picking Together AI — DeepSeek V4 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $4.336 | $2.20 | Save $2.136 / mo |
| 10,000 reqs/mo (Small App) | $43.36 | $22.00 | Save $21.36 / mo |
| 100,000 reqs/mo (Growth Production) | $433.60 | $220.00 | Save $213.60 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $4,336.00 | $2,200.00 | Save $2,136.00 / mo |
Together AI — DeepSeek V4 is 49% cheaper for Content generation workloads. At standard Content generation parameter ratios (800 input tokens, 1,200 output tokens, 30% cache hit), Together AI — DeepSeek V4 costs $0.0022 per request compared to $0.004336 on Amazon Nova Pro.
Amazon Nova Pro offers a context window of 300,000 tokens (max output: 5,000), while Together AI — DeepSeek V4 offers 1,000,000 tokens (max output: 64,000).
At 100,000 requests per month, using Together AI — DeepSeek V4 saves $213.60 every month (or $2,563.20 annually) compared to Amazon Nova Pro.
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.