Simulating realistic Content generation parameters (800 in / 1,200 out with 30% cache reuse). Databricks DBRX Instruct delivers a 57% cost reduction over GLM-5.3 (Z.ai).
| Traffic Volume Tier | GLM-5.3 (Z.ai) Monthly | Databricks DBRX Instruct Monthly | Monthly Savings by picking Databricks DBRX Instruct |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $6.126 | $2.64 | Save $3.486 / mo |
| 10,000 reqs/mo (Small App) | $61.264 | $26.40 | Save $34.864 / mo |
| 100,000 reqs/mo (Growth Production) | $612.64 | $264.00 | Save $348.64 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $6,126.40 | $2,640.00 | Save $3,486.40 / mo |
Databricks DBRX Instruct is 57% cheaper for Content generation workloads. At standard Content generation parameter ratios (800 input tokens, 1,200 output tokens, 30% cache hit), Databricks DBRX Instruct costs $0.00264 per request compared to $0.006126 on GLM-5.3 (Z.ai).
GLM-5.3 (Z.ai) offers a context window of 1,048,576 tokens (max output: 131,072), while Databricks DBRX Instruct offers 32,768 tokens (max output: 4,096).
At 100,000 requests per month, using Databricks DBRX Instruct saves $348.64 every month (or $4,183.68 annually) compared to GLM-5.3 (Z.ai).
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.