Simulating realistic Translation parameters (5,000 in / 5,500 out with 15% cache reuse). Databricks DBRX Instruct delivers a 93% cost reduction over GPT-5.5 Standard.
| Traffic Volume Tier | GPT-5.5 Standard Monthly | Databricks DBRX Instruct Monthly | Monthly Savings by picking Databricks DBRX Instruct |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $186.625 | $12.90 | Save $173.725 / mo |
| 10,000 reqs/mo (Small App) | $1,866.25 | $129.00 | Save $1,737.25 / mo |
| 100,000 reqs/mo (Growth Production) | $18,662.50 | $1,290.00 | Save $17,372.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $186,625.00 | $12,900.00 | Save $173,725.00 / mo |
Databricks DBRX Instruct is 93% cheaper for Translation workloads. At standard Translation parameter ratios (5,000 input tokens, 5,500 output tokens, 15% cache hit), Databricks DBRX Instruct costs $0.0129 per request compared to $0.1866 on GPT-5.5 Standard.
GPT-5.5 Standard offers a context window of 512,000 tokens (max output: 64,000), while Databricks DBRX Instruct offers 32,768 tokens (max output: 4,096).
At 100,000 requests per month, using Databricks DBRX Instruct saves $17,372.50 every month (or $208,470.00 annually) compared to GPT-5.5 Standard.
Output length ≈ input length; budget both sides of the request. Japanese and Chinese text typically costs more per word than English due to tokenization. Cache translation memories and glossaries embedded in the prompt.