Simulating realistic Customer support chatbot parameters (3,500 in / 350 out with 70% cache reuse). Databricks DBRX Instruct delivers a 72% cost reduction over Perplexity Sonar Deep Research.
| Traffic Volume Tier | Perplexity Sonar Deep Research Monthly | Databricks DBRX Instruct Monthly | Monthly Savings by picking Databricks DBRX Instruct |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $9.80 | $2.73 | Save $7.07 / mo |
| 10,000 reqs/mo (Small App) | $98.00 | $27.30 | Save $70.70 / mo |
| 100,000 reqs/mo (Growth Production) | $980.00 | $273.00 | Save $707.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $9,800.00 | $2,730.00 | Save $7,070.00 / mo |
Databricks DBRX Instruct is 72% cheaper for Customer support chatbot workloads. At standard Customer support chatbot parameter ratios (3,500 input tokens, 350 output tokens, 70% cache hit), Databricks DBRX Instruct costs $0.00273 per request compared to $0.0098 on Perplexity Sonar Deep Research.
Perplexity Sonar Deep Research offers a context window of 128,000 tokens (max output: 16,384), while Databricks DBRX Instruct offers 32,768 tokens (max output: 4,096).
At 100,000 requests per month, using Databricks DBRX Instruct saves $707.00 every month (or $8,484.00 annually) compared to Perplexity Sonar Deep Research.
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.