Simulating realistic Agentic workflow parameters (40,000 in / 1,500 out with 65% cache reuse). GLM 4.7 (Zhipu) delivers a 7% cost reduction over Grok 4.5.
| Traffic Volume Tier | Grok 4.5 Monthly | GLM 4.7 (Zhipu) Monthly | Monthly Savings by picking GLM 4.7 (Zhipu) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $44.80 | $41.475 | Save $3.325 / mo |
| 10,000 reqs/mo (Small App) | $448.00 | $414.75 | Save $33.25 / mo |
| 100,000 reqs/mo (Growth Production) | $4,480.00 | $4,147.50 | Save $332.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $44,800.00 | $41,475.00 | Save $3,325.00 / mo |
GLM 4.7 (Zhipu) is 7% cheaper for Agentic workflow workloads. At standard Agentic workflow parameter ratios (40,000 input tokens, 1,500 output tokens, 65% cache hit), GLM 4.7 (Zhipu) costs $0.0415 per request compared to $0.0448 on Grok 4.5.
Grok 4.5 offers a context window of 500,000 tokens (max output: 64,000), while GLM 4.7 (Zhipu) offers 128,000 tokens (max output: 16,384).
At 100,000 requests per month, using GLM 4.7 (Zhipu) saves $332.50 every month (or $3,990.00 annually) compared to Grok 4.5.
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.