Simulating realistic Agentic workflow parameters (40,000 in / 1,500 out with 65% cache reuse). GLM-4.6V (Z.ai) delivers a 86% cost reduction over Claude Sonnet 5.
| Traffic Volume Tier | Claude Sonnet 5 Monthly | GLM-4.6V (Z.ai) Monthly | Monthly Savings by picking GLM-4.6V (Z.ai) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $48.20 | $6.85 | Save $41.35 / mo |
| 10,000 reqs/mo (Small App) | $482.00 | $68.50 | Save $413.50 / mo |
| 100,000 reqs/mo (Growth Production) | $4,820.00 | $685.00 | Save $4,135.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $48,200.00 | $6,850.00 | Save $41,350.00 / mo |
GLM-4.6V (Z.ai) is 86% cheaper for Agentic workflow workloads. At standard Agentic workflow parameter ratios (40,000 input tokens, 1,500 output tokens, 65% cache hit), GLM-4.6V (Z.ai) costs $0.00685 per request compared to $0.0482 on Claude Sonnet 5.
Claude Sonnet 5 offers a context window of 1,000,000 tokens (max output: 128,000), while GLM-4.6V (Z.ai) offers 128,000 tokens (max output: 32,768).
At 100,000 requests per month, using GLM-4.6V (Z.ai) saves $4,135.00 every month (or $49,620.00 annually) compared to Claude Sonnet 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.