Simulating realistic Content generation parameters (800 in / 1,200 out with 30% cache reuse). GPT-5.4 Workhorse delivers a 64% cost reduction over o3 (Reasoning Frontier).
| Traffic Volume Tier | GPT-5.4 Workhorse Monthly | o3 (Reasoning Frontier) Monthly | Monthly Savings by picking GPT-5.4 Workhorse |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $19.46 | $53.84 | Save $34.38 / mo |
| 10,000 reqs/mo (Small App) | $194.60 | $538.40 | Save $343.80 / mo |
| 100,000 reqs/mo (Growth Production) | $1,946.00 | $5,384.00 | Save $3,438.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $19,460.00 | $53,840.00 | Save $34,380.00 / mo |
GPT-5.4 Workhorse is 64% cheaper for Content generation workloads. At standard Content generation parameter ratios (800 input tokens, 1,200 output tokens, 30% cache hit), GPT-5.4 Workhorse costs $0.0195 per request compared to $0.0538 on o3 (Reasoning Frontier).
GPT-5.4 Workhorse offers a context window of 256,000 tokens (max output: 32,768), while o3 (Reasoning Frontier) offers 1,050,000 tokens (max output: 128,000).
At 100,000 requests per month, using GPT-5.4 Workhorse saves $3,438.00 every month (or $41,256.00 annually) compared to o3 (Reasoning Frontier).
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.