Simulating realistic Agentic workflow parameters (40,000 in / 1,500 out with 65% cache reuse). Microsoft Phi-4 (14B) delivers a 14% cost reduction over GPT-5.4 nano.
| Traffic Volume Tier | Microsoft Phi-4 (14B) Monthly | GPT-5.4 nano Monthly | Monthly Savings by picking Microsoft Phi-4 (14B) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $4.45 | $5.195 | Save $0.745 / mo |
| 10,000 reqs/mo (Small App) | $44.50 | $51.95 | Save $7.45 / mo |
| 100,000 reqs/mo (Growth Production) | $445.00 | $519.50 | Save $74.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $4,450.00 | $5,195.00 | Save $745.00 / mo |
Microsoft Phi-4 (14B) is 14% cheaper for Agentic workflow workloads. At standard Agentic workflow parameter ratios (40,000 input tokens, 1,500 output tokens, 65% cache hit), Microsoft Phi-4 (14B) costs $0.00445 per request compared to $0.005195 on GPT-5.4 nano.
Microsoft Phi-4 (14B) offers a context window of 16,384 tokens (max output: 4,096), while GPT-5.4 nano offers 128,000 tokens (max output: 16,384).
At 100,000 requests per month, using Microsoft Phi-4 (14B) saves $74.50 every month (or $894.00 annually) compared to GPT-5.4 nano.
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.