Simulating realistic Agentic workflow parameters (40,000 in / 1,500 out with 65% cache reuse). Databricks DBRX Instruct delivers a 48% cost reduction over GPT-5.6 Terra Pro (OpenRouter).
| Traffic Volume Tier | Databricks DBRX Instruct Monthly | GPT-5.6 Terra Pro (OpenRouter) Monthly | Monthly Savings by picking Databricks DBRX Instruct |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $26.70 | $51.20 | Save $24.50 / mo |
| 10,000 reqs/mo (Small App) | $267.00 | $512.00 | Save $245.00 / mo |
| 100,000 reqs/mo (Growth Production) | $2,670.00 | $5,120.00 | Save $2,450.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $26,700.00 | $51,200.00 | Save $24,500.00 / mo |
Databricks DBRX Instruct is 48% cheaper for Agentic workflow workloads. At standard Agentic workflow parameter ratios (40,000 input tokens, 1,500 output tokens, 65% cache hit), Databricks DBRX Instruct costs $0.0267 per request compared to $0.0512 on GPT-5.6 Terra Pro (OpenRouter).
Databricks DBRX Instruct offers a context window of 32,768 tokens (max output: 4,096), while GPT-5.6 Terra Pro (OpenRouter) offers 1,050,000 tokens (max output: 128,000).
At 100,000 requests per month, using Databricks DBRX Instruct saves $2,450.00 every month (or $29,400.00 annually) compared to GPT-5.6 Terra Pro (OpenRouter).
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.