Simulating realistic Agentic workflow parameters (40,000 in / 1,500 out with 65% cache reuse). Fireworks AI — DeepSeek R1 delivers a 89% cost reduction over o3 (Reasoning Frontier).
| Traffic Volume Tier | o3 (Reasoning Frontier) Monthly | Fireworks AI — DeepSeek R1 Monthly | Monthly Savings by picking Fireworks AI — DeepSeek R1 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $226.00 | $25.285 | Save $200.715 / mo |
| 10,000 reqs/mo (Small App) | $2,260.00 | $252.85 | Save $2,007.15 / mo |
| 100,000 reqs/mo (Growth Production) | $22,600.00 | $2,528.50 | Save $20,071.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $226,000.00 | $25,285.00 | Save $200,715.00 / mo |
Fireworks AI — DeepSeek R1 is 89% cheaper for Agentic workflow workloads. At standard Agentic workflow parameter ratios (40,000 input tokens, 1,500 output tokens, 65% cache hit), Fireworks AI — DeepSeek R1 costs $0.0253 per request compared to $0.226 on o3 (Reasoning Frontier).
o3 (Reasoning Frontier) offers a context window of 1,050,000 tokens (max output: 128,000), while Fireworks AI — DeepSeek R1 offers 128,000 tokens (max output: 16,384).
At 100,000 requests per month, using Fireworks AI — DeepSeek R1 saves $20,071.50 every month (or $240,858.00 annually) compared to o3 (Reasoning Frontier).
Prompt caching is the single biggest lever — each step re-reads prior context. Summarize or prune tool outputs before appending them to the transcript. Cap the step budget; runaway loops are the #1 surprise on agent invoices.