Simulating realistic Customer support chatbot parameters (3,500 in / 350 out with 70% cache reuse). GPT-5.4 Workhorse delivers a 69% 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) | $8.488 | $26.95 | Save $18.463 / mo |
| 10,000 reqs/mo (Small App) | $84.875 | $269.50 | Save $184.625 / mo |
| 100,000 reqs/mo (Growth Production) | $848.75 | $2,695.00 | Save $1,846.25 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $8,487.50 | $26,950.00 | Save $18,462.50 / mo |
GPT-5.4 Workhorse is 69% cheaper for Customer support chatbot workloads. At standard Customer support chatbot parameter ratios (3,500 input tokens, 350 output tokens, 70% cache hit), GPT-5.4 Workhorse costs $0.008488 per request compared to $0.027 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 $1,846.25 every month (or $22,155.00 annually) compared to o3 (Reasoning Frontier).
Cache the system prompt and static documentation chunks — cached input is often 4–10× cheaper. Route simple FAQ turns to a nano-tier model and escalate only complex tickets. Cap max_output per reply; support answers rarely need more than a few hundred tokens.